The secondaries market has tripled since 2019. We examine what's driving growth, how deal terms are evolving, and the role of AI in due diligence.
The private markets secondaries space has entered a new chapter. What was once a niche corner of alternative investments, used primarily by limited partners (LPs) seeking early exits from fund commitments, has grown into one of the most dynamic segments of global private capital. The market has tripled in size since 2019 and grown by approximately 50% between 2024 and 2025 alone, reaching an estimated $230 billion in annual transaction volume and now representing around 5% of all global private equity assets under management.
This piece examines the forces behind that expansion, the structural shifts redefining the market, and the operational and regulatory challenges participants will need to navigate as the asset class continues to scale.
Market Growth and Shifting Deal Dynamics
Several converging factors have driven the secondaries market to its current size. A prolonged slowdown in IPO activity and traditional exits has created a liquidity bottleneck across private markets, leaving many LPs over-allocated to alternatives and constrained in their ability to make new commitments. The secondary market has become a primary mechanism for these investors to rebalance portfolios and free up capital.
Deal structuring has grown more sophisticated in step with market volumes. Ropes & Gray has observed a continued expansion in the use of purchase price deferrals and earnouts, and more recently, the introduction of deal-specific funding caps, limits on how much capital a buyer can be called to deploy before a specified date. These mechanisms allow sellers to achieve higher reference-date pricing while enabling buyers to manage capital deployment pacing and portfolio composition. In Q1 2026 alone, institutions initiated new secondary sales processes totaling north of $20 billion, some linked to denominator effect concerns as declines in public market portfolios pushed private allocations above target levels. Whether this proves a sustained driver of supply will depend on how institutional portfolios weather current market conditions.
The Three Transaction Types
Secondary transactions fall into three main categories:
LP-led transactions, the original form, involve an LP selling existing fund interests, sometimes across a broad portfolio of hundreds of positions, typically through competitive auction processes with tight timelines.
GP-led continuation funds, the fastest-growing segment, involve a sponsor transferring select assets into a new vehicle, giving existing LPs the option to cash out or roll forward. As of 2025, GP-led and LP-led volumes are roughly evenly split at around $115 billion each. GP-led buyout fund volume grew 39% year-over-year, while private credit secondaries saw nearly 300% year-over-year growth in GP-led activity.
The third category, structured solutions, provides capital to a GP collateralized by existing fund assets and can take a wide variety of bespoke forms.
What Are the Operational and ESG Challenges in the Market?
One of the defining challenges in secondaries is the speed and scale of due diligence required, particularly in LP-led transactions. Buyers may need to evaluate hundreds, or in private credit secondaries, over a thousand, underlying positions with limited information and within windows of 24 to 48 hours. As Jessica Huang, Managing Director and ESG lead for private equity and secondaries at Ares Management, noted in a recent webinar:
Against this backdrop, LP expectations around ESG integration have risen sharply. LPs are now holding secondaries to a standard closer to that applied to direct investments, with requests for Article 8-classified funds, look-through exclusion lists, and UN Global Compact compliance screening becoming more common. Main exclusion categories include fossil fuels, controversial weapons, tobacco, and gambling, though definitions and revenue thresholds vary significantly across mandates. SFDR 2.0, currently in draft form, may introduce additional mandatory exclusion categories that managers are monitoring closely. In LP-led deals where buyers are inheriting a broad portfolio of assets, highly granular opt-outs can mean missing certain large transactions, a trade-off that must be clearly communicated to LPs.
The Role of Technology and AI
Technology has become central to the scaling of secondaries operations. AI tools are now applied across controversy screening, ESG data analysis, and emissions estimation, where direct disclosures are unavailable. A particular challenge in the asset class is coverage: many underlying companies are small or mid-market private businesses not captured in conventional databases.
Market participants consistently emphasize that AI outputs serve as inputs to human judgment, not as replacements for it. At Ares, screening results are reviewed by ESG specialists before being passed to deal teams for final decisions.
What the Future Holds
Transaction volumes are forecast to continue rising as both the seller and buyer universes expand. Private credit, infrastructure, and structured secondaries all represent areas of growing specialization and regional expansion, particularly in Asia, where secondary activity has been limited but is expected to grow as investment programs mature, broadening the market further. Capital supply dynamics bear watching: while dry powder remains substantial, deal volume growth has outpaced fundraising since 2023, which could create pricing or capital constraints. The entry of retail investors through evergreen vehicles adds a meaningful new source of capital but brings different liquidity expectations and regulatory considerations.
On the operational side, the sophistication of deal terms, the complexity of ESG compliance, and the volume of data processed per transaction are all increasing. Firms that can integrate technology into their diligence and monitoring workflows, while preserving the human judgment layer, will be best positioned to manage market growth. Secondaries are no longer a supplementary liquidity tool; they have become a structural feature of how private markets operate.
Over the past decade, many organizations have improved their carbon footprints, from recyclable and biodegradable packaging and single-use plastic to planting trees and reducing their greenhouse gas emissions. However, some businesses and companies looking to boost their eco-friendly image without committing to serious changes and addressing environmental issues have been associated with false green marketing. We call this "Greenwashing."
What is Greenwashing?
Greenpeace and the Environmental Protection Agency define greenwashing as making false and misleading claims about a product's environmental benefits or practices, services, technology, or company practices. Greenwashing typically involves companies spending more money on advertising and marketing than on implementing sustainable business practices that minimize environmental impact. These false green claims can deceive consumers into believing that a product or company is more environmentally friendly than it is, leading to increased sales and profits. As a result, false advertising, misleading initiatives, and groundless claims have increased green investors' exposure to risks emerging from potential lawsuits from activist groups, image deterioration, and some heavy loss in assets invested.
Why is Spotting Greenwashing Important?
Greenwashing is a growing concern for investors as they look to make sustainable and responsible investments. Therefore, spotting greenwashing practices is important for these firms. Here's why.
The deceptive practices used by greenwashers can have significant implications for the integrity of investments made in what investors believe to be sustainably operated companies or sustainable funds. In other words, greenwashing makes it difficult for investors to distinguish between genuinely committed to sustainability companies and those merely making false claims about their environmental practices. As a result, investors may unknowingly invest in companies that are not as sustainable as they claim to be, which can harm their financial returns and the environment. Therefore, it's essential for investors to be aware of greenwashing tactics and to carefully research companies before investing in them to ensure that their investments align with their values and contribute to a more sustainable future.
What Are the Challenges to Detecting Greenwashing?
It's challenging to produce an accurate assessment of environmental, social, and governance (ESG) factors, which gives companies the opportunity to cover or hide ineffective and fake green initiatives. According to Regtank, some of the main challenges to detecting greenwashing practices are the following:
Lack of reporting standards: some investors believe that we haven’t universally agreed upon a set of standards to determine whether a product is ESG compliant.
Lack of transparency: greenwashing companies don’t disclose the specificities of their “green campaigns,” which makes it difficult for investors and consumers to fact-check and evaluate their sustainability claims.
Limited consumer awareness: false marketing strategies could be based on a combination of the consumer’s eco-consciousness and brand loyalty. As a result, consumers become less aware of the misleading strategies greenwashing companies use to sell their products.
Ultimately, these factors may contribute to the inaccuracy and limitations of ESG data and scores, which makes it easier for greenwashers to get away with their false marketing campaigns. Consequently, detecting greenwashing requires scrutiny of environmental claims made by companies and an understanding of the complex supply chains and manufacturing processes involved in producing products and services.
To learn more about greenwashing and have access to real-life case studies, download this comprehensive report:
How Does Artificial Intelligence Detect Greenwashing?
As greenwashing practices increase, activist investors, experts, journalists, and even the general public are spreading awareness of the issue using social media, news outlets, forums, and blogs, among other means. Recently, artificial intelligence (AI), particularly natural language processing (NLP), has proven to be effective in the early detection of greenwashing by analyzing vast amounts of qualitative data publicly available on the web. At SESAMm, for example, we apply our NLP capabilities to identify companies likely to engage in greenwashing practices by analyzing text in billions of web-based articles. Our data lake contains over 25 billion web–sourced articles, sourced from four million news, blogs, social media, and forum discussions on five million public and private companies in more than 100 languages. We run these articles through our AI platform tool, TextReveal®, and systematically craft reliable, timely, and comprehensive insights to detect greenwashing, generate ESG alerts, and identify related risks.
The Rise of Greenwashing
Greenwashing, the deceptive practice where companies claim to be more environmentally friendly than they actually are, has become a growing concern in recent years. By analyzing the frequency of web mentions of greenwashing over time, we can observe important trends and understand the factors contributing to this phenomenon.
Recent analyses indicate a significant increase in greenwashing mentions since late 2019. This rise aligns with a growing public awareness of the climate emergency and the increase in media outlets and social media accounts dedicated to exposing greenwashing. The number of mentions escalated from fewer than 200 to over 23,000 in the last quarter of 2023, highlighting the increasing scrutiny of corporate environmental claims.
A noteworthy pattern is the regular occurrence of spikes in greenwashing mentions during the third quarter over the past three years. This timing corresponds with the "pre-COP" periods, leading to critical international climate change management conferences. These periods see heightened discussions around sustainability, with increased attention on companies' environmental practices.
Figure 1: Greenwashing mentions over time.
Greenwashing in the Energy Sector
The energy sector, particularly the oil industry, has faced significant scrutiny regarding greenwashing. In this context, companies like Shell and ENI have been prominent due to the frequency of greenwashing mentions associated with them.
Figure 2: Examples of greenwashing mentions in the energy sector over time.
For Shell and ENI, the volume of greenwashing mentions has fluctuated, with notable increases in specific quarters. For example, Shell saw spikes in mentions during the second quarter of both 2021 and 2022 while experiencing a drop in the third quarter of 2022. ENI has faced similar fluctuations, often linked to legal actions and publicized environmental issues.
Shell's Greenwashing Mentions, ESG Risks, and Initiatives
Shell, a British multinational and prominent player in this sector, has faced considerable scrutiny for such practices. The company has experienced notable spikes in greenwashing mentions and has been involved in several ESG-related risks.
Figure 3: Shell greenwashing and ESG mentions over time.
Greenwashing Mentions
We can see an increase in greenwashing mentions in the first half of 2023. Around that period, Shell faced allegations and lawsuits concerning its environmental claims. The company was criticized for misleading U.S. authorities and investors about its energy transition efforts. Additionally, Shell faced public backlash for labeling fossil gas as 'renewable' while reporting record profits. A notable incident involved a shareholder suing Shell's executives over climate risks.
ESG Risks
Shell has faced several ESG-related risks, including legal challenges and pollution issues. In 2021, the company was sued by New York City over climate change-related advertising and filed an arbitration claim against Nigeria concerning a spill dispute. In March 2023, Shell faced another oil spill, this time in another region in Nigeria, Rivers State, and also saw institutional investors backing a lawsuit against its board over climate risks. The mid-2023 period saw Shell agreeing to pay $10 million for air pollution violations at a Pennsylvania petrochemical plant. Despite its net-zero pledge, the company announced plans to increase fossil fuel production.
ESG Initiatives
Despite its challenges, Shell has also engaged in various sustainability initiatives. In late 2021, the company announced plans to purchase power from the world's largest offshore wind farm. Mid-2022 saw a leadership change with the company's CEO stepping down as Shell aimed to align with its climate goals. The company also planned to deploy 10,000 EV chargers across India as part of its global strategy. In mid-2023, Shell committed to investing $10–15 billion in developing low-carbon energy solutions. Although the company abandoned its lower oil production target, it maintained its commitment to reducing emissions.
Shell's journey underscores the challenges of aligning environmental claims with real actions, emphasizing the importance of transparency and genuine sustainability efforts.
ENI's Greenwashing Mentions, ESG Risks, and Initiatives
ENI, an Italian multinational oil and gas company, has faced scrutiny for such practices. The company has experienced fluctuations in greenwashing mentions and has been involved in a number of ESG-related risks.
Figure 4: ENI greenwashing and ESG mentions over time.
Greenwashing Mentions
ENI's greenwashing mentions are fairly low. However, the company has been featured in discussions about greenwashing, especially with recent developments. In early 2022, the company faced criticism for inconsistencies in emissions data and greenwashing activities, as highlighted by the Sereno Regis Study Center. Greenpeace also criticized ENI for using the Sanremo Music Festival as a platform for greenwashing. In May 2023, ENI faced a lawsuit for allegedly lobbying and greenwashing to promote fossil fuels despite being aware of their environmental risks. Greenpeace sued the company, accusing it of knowingly contributing to climate change.
ESG Risks
Over the past 4 years, the oil giant's ESG risks have been few but not inexistent. ENI has encountered several risks, including legal challenges and pollution issues. In 2022, ENI's environmental strategy was deemed a failure, and concerns arose about a pipeline spill into the East Irish Sea. The company also faced legal actions in 2021, including an appeal against a court ruling in an illegal waste case and warnings from the Legality Network to reduce greenhouse gas emissions or face prosecution.
The company faced a lawsuit in early 2023 for allegedly having prior knowledge of the climate crisis. In another incident, a report found that ENI and Shell were responsible for significant pollution in Bayelsa, requiring a $12 billion cleanup.
Shell and ENI both face the challenge of balancing economic interests with environmental responsibility. Despite allegations of greenwashing and environmental risks, both companies have taken steps towards sustainability, such as investing in low-carbon solutions and renewable energy projects. Their experiences highlight the importance of transparency, genuine commitment to environmental responsibility, and the role of public scrutiny in holding companies accountable.
Greenwashing and ESG Investing
In sum, certain companies advertise their sustainability and green initiatives, while in reality, they are making false claims and practicing greenwashing, as evidenced by our analysis using SESAMm's AI and ESG reports. We use AI through TextReveal to generate alternative data for use cases, such as ESG and SDG, sentiment, private equity due diligence, corporate studies, and more. Our technologies can reliably ensure the credibility of ecological initiatives and serve global investment firms, corporations, and investors, such as private equity firms, hedge funds, and other asset management firms, to enhance their investment strategies.
Conclusion
In conclusion, the issue of greenwashing represents a substantial obstacle in the journey towards genuine environmental sustainability, misleading consumers and investors and diluting the efforts of genuine sustainable enterprises. Nevertheless, the emergence of advanced technologies such as Artificial Intelligence (AI) and Natural Language Processing (NLP) indicated a new era of accountability. Innovators like SESAMm are at the forefront, deploying these technologies to effectively unravel and counteract greenwashing practices. This empowers investors, asset, and portfolio managers to discern and align their resources with legitimately sustainable entities. The call to action is clear: a collective demand for transparency and responsibility is crucial.
Reach out to SESAMm
TextReveal’s web data analysis of over five million public and private companies is essential for keeping tabs on ESG investment risks. To learn more about how you can analyze web data or to request a demo, reach out to one of our representatives.
People are leaving traditional jobs in droves according to the latest figures from the U.S Bureau of Labor Statistics, which showed a record breaking 4.5 Million resignations as of Nov 2021.
The trend has originated a movement on Reddit similar to r/wallstreetbets called r/antiwork where more than 1.7 Million active members share resignation stories, discuss unfair work practices, criticize their bosses, and advocate for employee rights and better work conditions.
We applied SESAMm’s AI and Natural Language Processing (NLP) engine TextReveal® to analyze r/antiwork subreddit thread posts, as well as other related content, from a context and sentiment analysis perspective.
The full report, entitled “The Big Quit”, is one of our series of Alternative Data Trends, which leverages web data and AI to provide regular analytics on key industries and subjects. They typically contain alternative data based insights and analyses, including numerous detailed charts and graphs as well as supporting data which can be reprocessed by client teams.
Here are some of The Big Quit report’s highlights:
Mentions of the Anti-Work movement exploded by 215% in June 2021 coinciding with the start of the ‘Great Resignation’.
Leisure & Hospitality, Healthcare and Retail are the three most mentioned sectors.
McDonalds and Starbucks are the two companies with the highest number of mentions.
The three brands displaying the most negative sentiment are Wendy’s, Chipotle Mexican Grill and McDonald’s.
The three most talked about topics are compensation benefits, and workload.
The Debtstrike movement, seeking debt relief for the less fortunate in society as well as banning unfair debt practices, saw mentions shoot up 497% in September 2021.
Volume of Mentions of “Anti-work” as a predictive Indicator of The Big Quit
The graph above shows that prior to August 2021, anti-work mentions on Reddit have been fairly stable before this topic went viral with a 215% increase, this growth of mentions appears to be a leading indicator to the 4.5 million resignations in November 2021.
SESAMm’s TextReveal® platform can be used in a wide variety of use cases and projects. Request a copy of the full Alternative Data Trends report “The Big Quit” report here, or if you have any other questions regarding our data, or would like a demo, please contact info@sesamm.com.
The world of private equity has been fertile ground for the adoption of alternative data, including AI-driven insights from firms like SESAMm, an expert in Natural Language Processing (NLP).
Could SESAMm’s technology provide Carlyle with the tools to identify a better class of investment opportunity?
When SESAMm’s CEO Sylvain Forté met the man in charge of data at The Carlyle Group, at an industry conference, the opportunity arose to put SESAMm’s data to the test.
“I remember the first day I met Sylvain and he said, I can tell you if your company is trending positively or negatively on the internet,” recounts Matt Anderson, Chief Data Officer of Carlyle, at a recent PE Insights webinar, in which EQT and Apollo were also speaking. Sensing potential in the data, he decided to give it a go.
SESAMm’s NLP platform generates quantitative and qualitative analytics on a wide array of entities – from public and private companies, to brands, products and individuals, by running cutting edge algorithms across billions of web-based articles.
Their data lake is not limited to news stories from the New York Times or Wall Street Journal, but spans a whole variety of global sources – social media, blog posts, professional forums, customer reviews and more, in over 100 languages.
Using this ability to interpret unstructured text from a huge slice of the internet, SESAMm’s team created insights designed to help Matt’s deal teams evaluate target companies.
The challenge was getting investment professionals to buy into the value of alternative data for private companies, so SESAMm condensed everything into easily-digestible reports. They included time-series and charts measuring companies on a variety of key metrics versus their peers, including ESG risk, e-reputation, competitive positioning, sentiment, positive and negative themes and other critical KPIs.
Fig 1. An Example of one of SESAMm’s deal slides, in this case for brewery Brewdog (Not a Carlyle portfolio company).
By regularly presenting SESAMm’s analytics reports to investment committees, Sylvain and Matt hoped to gradually convince deal teams that alternative data could have a positive impact on the investment process.
“It was about sharing the data in the form of slides directly with deal teams in a way that was automated on our side but easily consumable as part of the pre-deal decision process”, said Forté.
“We saw the need to convince people and show, time after time, that it really works, that this data is really valuable and can give an edge”, added Forté.
Fig 2. A deal slide showing competitor analysis.
“In some instances it helped us to not make investments or avoid allocating resources to things that were marginal or moving in the wrong direction, and that was really valuable”, said Anderson.
To further prove the value of the data, Matt asked Sylvain to create analytics reports on a selection of Carlyle’s historical target companies. The idea was to see if SESAMm’s scores and analytics were predictive of the deal outcome, whether positive or negative.
“If we put a number on how positive SESAMm feels about some of these deals between one and ten, with one being, ‘avoid at all costs’ , and ten, ‘go for it’, what would it have told us?”, said Anderson.
After running the back test, the results showed a clear correlation between SESAMm’s analysis, and the deals that performed well and those that fell through.
“Looking at the results, I think that people would have really paused an investment committee around some of the conclusions”, commented Anderson.
“Having a view of the themes being surfaced, the plateaus in certain trends, and the sentiment charts heading in a negative direction was eye-opening for our leaders and deal teams – because they had to actually live through those deals. So seeing that kind of data, and what it can help you avoid was really insightful.” Says Anderson.
Ultimately, the integration of SESAMm’s analytics reports into Carlyle’s investment process was so successful that they were rolled out across all global investment teams. The two companies have developed a strong partnership based on the proven value of alternative data in the private equity investment process.
To find out how SESAMm can support your investment decision-making, to request a demo or for any other questions regarding our data do not hesitate to contact info@sesamm.com.
Discover our whitepaper highlighting the power of web data on predictive analytics for the financial industry: how alternative data strengthen the market, the challenges of collecting web data and case studies presenting different approaches, such as ESG, showcasing TextReveal features and capacities for investment purposes.
In the past, investment management institutions relied mostly on traditional data to gain an edge in investing. Traditional data ranges from SEC filings to earnings reports and pricing information any type of data produced by the company itself. The rise of the digital age, however, has opened up new sources of data for investors beyond the scope of traditional data. The seemingly infinite scope of alternative data includes data produced from credit cards, satellites, social media and perhaps most importantly the web.
With the additional integration of alternative data, investment management institutions and hedge funds in particular that once relied only on traditional data now have an edge in predicting the rise and fall of the markets. As increasing numbers of financial institutions jump on the bandwagon of alternative data, spending on alternative data by trading and asset management firms is set to exceed $7 billion by 2020.[1]
What was only a few years ago a question of when institutions should start using data has shifted to the question of howthey can organize and structure these mostly unstructured datasets. And with 4 billion webpages and 1.2 million terabytes of data on the internet estimated to be generated globally by 2025, there is no shortage of web data to sort through. As increasing numbers of investment management institutions incorporate alternative web data into their predictive algorithms, it will change the face of investment as we know it.
This white paper is intended to be a guide for investment management (IMs) institutions to better understand how alternative web data is quickly becoming an essential component for generating alpha and mitigating investment risk. In addition, it explores different models of web data crawlers and what IMs need to look for as they incorporate alternative web data into their predictive analytics models.
Section 1: Beating the Market with Alternative Web Data
“Your company’s biggest database isn’t your transaction, CRM, ERP or other internal database. Rather it’s the Web itself…Treat the Internet itself as your organization’s largest data source.” — Gartner
As previously mentioned, alternative data includes any type of data that is beyond the scope of traditional data: satellite imagery, social media data, and web data (which includes news sites, blogs, discussions and forums) along with credit card data. Alternative web data, which falls under the broader category of big data, is typically unstructured and demands a process for structuring it in order to deliver insights.
[1]
Alternative data for investment decisions: Today’s innovation could be tomorrow’s requirement.
Deloitte Center for Financial Services. 2017.
2018 proved to be an eventful year for SESAMm with multiple renowned customers acquired, our A series fundraising campaign, numerous prizes won and milestones reached. Here is a look back at our rewarding year 2018 followed by our next steps for 2019.
Successful market entry in the US and around the world
The rapid growth of the alternative data industry and of SESAMm
As a Fintech company specialized in alternative data for Asset Management, 2018 represented a thrilling year in our industry and 2019 already promises to be even more exciting.
During 2018, after our very first business trip in the United States, our international sales development beyond Europe began accelerating. In just one year, we already signed contracts with multiple clients. These include major hedge funds in the US and a major global trading company managing $100 billion in financial assets and part of the Top 10 in its market. The US market represents a powerful strategic growth driver and we are already preparing to open an office there soon!
SESAMm signed its first contract with a client in Africa: Ipro Investment, renown asset manager established for 25 years specialized in emerging markets. Finally, we also signed a contract with our first Japanese client, Nikko Global Wrap, one of the subsidiaries of Sumitomo Mitsui Asset Management which is a major asset manager in Japan managing JPY 1.7 trillion.
Strengthening and developing our position in Europe
At the European level, SESAMm has also extended its customer portfolio:
Groupama AM: new major clients and leading French Asset Management players managing €103 billion Asset under Management (AuM);
Société Générale: leading French bank present all over the world;
Raiffeisen Bank International: one of the leading banks in Europe with more than 50,000 employees servicing over 16.5 million customers and possessing around 2,400 business outlets;
GT Patrimoine : the largest consulting and private management firm in the Lorraine area and based in France for 12 years.
In addition, after our 1st successful collaboration, a new contract was signed with Candriam, leading Asset Management firm and members of the New York Life Group, managing more than $112 billion AuM worldwide.
We are very proud to see how much traction we gained in just a year. The growing use and interest in alternative data for the Asset Management industry, both for quantitative and fundamental funds and asset managers, lead us to prepare for new opportunities of growth & business development.
Cutting edge solutions to respond to market needs
Big Data & AI for Cryptocurrencies
Our first cryptocurrency project began in early 2018. Initially, we started tracking the evolution of the most popular cryptocurrencies, such as Bitcoin (BTC) and Ethereum (ETH) and we analyzed their social data to produce social sentiment & emotions indicators. These indicators have since been integrated into our visualization platform of market sentiment, L’Humeur des Marchés.
This led us to establish a unique partnership based on L’Humeur des Marchés with NapoleonX, a major player as the leading French cryptocurrency manager: the first sentiment and emotion cryptocurrencies analysis destined for the general public. Since then, ETH and BTC sentiment, emotions & opinion value from SESAMm has been available to individual investors and the general public on NapoleonX platform.
The evolution of L’Humeur des Marchés
Our platform L’Humeur des Marchés is an essential tool to guide companies in their investments. During 2018, multiple improvements were added into L’Humeur des Marchés to further enhance its insights & analytics. For example, users have now the possibility to build automated strategies which can generate daily trading signals. Multiple new features were also added such as a strategic backtesting system, daily alerts with 3 years of history and day+1 signal to forecast market movements giving asset managers an edge over competitors.
"L'humeur des marchés" is SESAMm's data visualization platform to analyze market sentiment & emotion for asset management
L’Humeur des Marchés, our data visualization platform
Finally, additional filters have been added to better study & analyze market sentiment: there are now 6 different filters for data sources (sort by sources from web & press, news, blogs, discussions, social trading or all of them) and 9 languages covered (sort by English, French, Spanish, Chinese, Japanese, Portuguese, Italian, German or all of them). These new filters allow for a wider and more accurate coverage of assets, leading to improved tools & insights for investment decision.
Global recognition & awards for SESAMm
To accomplish our worldwide ambitions, we have started being more and more present abroad, especially at international events. They represent great occasions to promote SESAMm, demonstrate the unique benefits and advantages brought by our technologies & solutions and finally create business opportunities.
This year, we participated in many international events in the US and in Japan, including New York and Hong Kong for Eagle Alpha’s Alternative Data event, Canada, Africa and even London at the French Fintech Tour.
Having been selected for unique international awards reinforces our confidence in the benefits of our solutions for the Asset Management industry, for example with “Talk data to me” by Neudata, Elevator Lab Competition, and Groupama’s award “Créateur de confiance” (Trust Creator) among others.
SESAMm won the pitch "Talk data to Me" of Alternative Data Summit event by Neudata
SESAMm pitch “Talk Data to Me” winner during Alternative Data Summit by Neudata
Moreover, SESAMm has competed in several acceleration programs, in which we were selected in the following ones:
Fintech Business Camp Tokyo, the Tokyo Metropolitan Government accelerator program by Invest Tokyo and powered by Accenture;
Elevator Lab, Acceleration program of Raiffeisen Bank International where SESAMm competed and was selected;
French Tech Tour America, IMPACT USA’s program to prepare and discover North America’s markets & opportunities;
Pass French Tech, La French Tech’s highly selective program for hyper-growth startups & companies.
SESAMm’s Demo Day Presentation during Fintech Business Camp Tokyo
SESAMm’s plans for 2019: recruitment, development and growth
This year, we are very proud to see our team grow so much in so little time: we had 16 collaborators at the beginning of January 2018 and we are now a team of 28 members! Talented profiles have joined SESAMm team with NLP, AI & Quant engineers & experts from world-renowned schools. New collaborators will join SESAMm in the first quarter of 2019 and we are still recruiting in various fields such as Data Science, Quantitative Analysis, IT and Natural Language Processing among others. You can find all our offers on our dedicated page SESAMm Career!
Following our international success, especially in the US and in Japan, we are now preparing to open an office in the US in the following months and are already considering this option for Japan. Next month’s promise to be exciting and we will be participating in multiple events such as AI & Data Science for trading in New York in March, Machine Learning in Quant Finance by GFMI in April, and many events & conferences on alternative data, data science, Artificial Intelligence and Big Data for Asset Management around the world.
As you can see, 2018 represented SESAMm an exceptional year for its growth with new customers, including global companies, technological improvements for our solutions & services and a bigger and even more motivated team! Our major event in 2018 was the accomplishment of a €2.6 million Series A fundraising campaign, which enabled us to continue our international development, mainly in America and Asia, and the recruitment of many profiles. 2019 will represent another step for SESAMm to become a leading company in the alternative data solutions in the world. Stay tuned: SESAMm news will arrive soon!
Happy new year! 2018 already holds many exciting news with various projects and clients already onboard. We begin the year with 2 recently signed contracts with top-ranked hedge funds, additional features and cryptocurrencies added to L’Humeur des Marchés and published plentiful of internships and job opportunities. Moreover, following our partnership with Eagle Alpha and the event in New York last month, we will be organizing a roadshow in London to meet high-ranked hedge funds on February 7th and 8th.
Collaboration with new major clients
Recently, we have signed 2 major contracts with top-ranked hedge funds.
The first contract is with Nikko Global Wrap (one of the subsidiaries of Sumitomo Mitsui Asset Management, a major asset manager in Japan) managing JPY 1.7 trillion.
Second contract has been signed with La Française Investment Solutions, a subsidiary of La Française Group, a top 10 French asset manager with more than €64bn assets under management.
This great news proves our technology is trusted by major financial institutions and gives us more confidence to continue looking for collaboration opportunities worldwide.
Future contracts and new distributor
We are currently in negotiation talks with another major French asset manager, a bank, two insurers and a US hedge fund. We hope to keep up at the same pace for the whole year and sign new contracts in the weeks ahead.
Also, we have recently started a new partnership with Neudata, a major UK alternative data distributor. We have signed an agreement, so they could support us and promote our solutions & services.
After New York, London
Last month, SESAMm made its very 1st trip to the USA for the BIG Alternative Data Showcase week organized by our partner Eagle Alpha. It proved to be a valuable experience from which multiple business opportunities arose and we launched many product trials with significant US funds.
Next month, we are planning a roadshow in London with Eagle Alpha. We already arranged multiple meetings with hedge funds and, thanks to Eagle Alpha’s support, we are given a unique opportunity to present and show our solutions to asset managers and C-level decision makers.
New additions to L’Humeur des Marchés
Concerning our platform L’Humeur des Marchés, we are glad to announce that we will soon be providing historical data concerning the assets. This update is planned to happen during next month and will give users more flexibility and options related to their investment and strategies.
In addition, an alert module is under development and we have begun to include cryptocurrencies into the platform. Most of the top-ranked cryptocurrencies are currently covered – such as Bitcoin, Ethereum or Ripple, among others as shown below.
Developments are planned to further extend our coverage of alt-coins with the objective to include every single major capitalization into L’Humeur des Marchés.
New job opportunities
Last but not least, we will be scaling our team during 2018. Multiple internships and job offers are currently available to further support SESAMm’s growth and ambition. We are looking for candidates in the fields of IT, finance and Data science but, most of all, highly motivated individuals seeking challenges! You can find all our offers by following this link. We would be very excited to receive your applications or recommendations for profiles seeking to work with us!
Thank you for your support and best wishes to you for 2018!