Altis
A venture intelligence platform providing research infrastructure for private market investors.
Website: https://altis.vc
Cover Block
PUBLIC
| Name | Altis |
| Tagline | A venture intelligence platform providing research infrastructure for private market investors. |
| Headquarters | New York, NY, USA |
| Founded | 2025 |
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry | Other |
| Technology | Software (Non-AI) |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Solo Founder |
| Funding Label | Undisclosed |
Links
PUBLIC
- Website: https://altis.vc
- LinkedIn: https://www.linkedin.com/posts/cfreeberg_i-am-the-founder-and-ceo-of-altis-and-today-activity-7429896024535584768-mAsi
Executive Summary
PUBLIC Altis is building research infrastructure for venture capital investors, a bet that the next edge in early-stage investing will come from superior tooling for sourcing and diligence rather than just more data. Founded in 2025 by Chris Freeberg, the New York-based pre-seed company aims to help investors strengthen conviction and accelerate decisions on Series A through C companies by structuring primary research and internal analysis [Primary Venture Partners, 2025]. The platform's wedge is a focus on workflow improvement for tasks like building market maps and testing investment theses, positioning it as an operational layer above generic funding databases [LinkedIn, 2025].
Backing from Primary Venture Partners provides an initial network and credibility, though the specific funding amount and valuation remain undisclosed. The company's business model is SaaS, targeting venture capital firms and other private market investors as its core customer base [altis.vc, retrieved 2025]. Over the next 12-18 months, the key indicators to watch are the public launch of its core platform, the signing of initial design partners from the VC community, and the articulation of a clear product differentiator against established competitors like CB Insights and Harmonic.
Data Accuracy: YELLOW -- Core company description and investor backing confirmed by Primary Venture Partners and founder statement; funding details and commercial traction are not publicly available.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry / Vertical | Other |
| Technology Type | Software (Non-AI) |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Solo Founder |
| Funding | Undisclosed |
Company Overview
PUBLIC
Altis emerged in 2025 as a New York-based venture intelligence platform, aiming to build foundational research tools for private market investors. The company's launch was framed not as a new data source, but as a workflow infrastructure layer designed to integrate with and enhance an investor's existing research, sourcing, and diligence processes [LinkedIn, 2025]. Founder Chris Freeberg announced the company's debut, positioning it to help venture capital teams "rise above the noise" in a saturated information landscape [altis.vc, retrieved 2025].
Key milestones are limited to the firm's establishment and initial backing. The company is listed as a portfolio company of Primary Venture Partners, which confirms its pre-seed stage and founding year [Primary Venture Partners, 2025]. Public records do not yet detail subsequent product launch dates, named customer wins, or team expansion beyond the founder. A recent job posting for a "Paid Intern, Venture Intelligence Program" suggests early-stage operational build-out [ZipRecruiter, retrieved 2026].
Data Accuracy: YELLOW -- Founding details confirmed by investor portfolio page; other milestones inferred from limited public activity.
Product and Technology
MIXED Altis positions itself as research infrastructure, a framing that suggests a focus on workflow and process rather than a simple data feed. The platform is designed to serve venture capital and private market investors, with a stated goal of improving their workflows around market maps, sourcing, and internal research [LinkedIn, 2025]. The company's public language emphasizes helping investors strengthen conviction, test assumptions, and spot opportunities faster [Crunchbase, 2026]. This points to a product that integrates data, analytics, and human-driven research into a structured decision-making process.
The core service appears to be primary research conducted to support investment diligence. According to a description from a Harvard event, Altis identifies the key debates that should drive an investment committee decision, then builds out bull and bear cases through interviews with customers, competitors, former employees, and domain experts [Harvard FAS, 2026]. This positions Altis as a provider of bespoke, human-generated intelligence, aiming to deliver "trusted diligence at venture speed" [altis.vc, 2026]. The technology stack is not publicly detailed. [PUBLIC] The company's website and investor profile do not list specific features, integrations, or an API. [PRIVATE] The absence of technical job postings for engineering roles suggests the initial product may rely on established tools or a lean build.
Data Accuracy: YELLOW -- Product claims are sourced from the company's own website and founder statements; the technical stack and specific features are not publicly confirmed.
Market Research
PUBLIC
The venture intelligence market is defined by a persistent and costly problem for its buyers: the time and resource drain of synthesizing fragmented private market data into a clear investment thesis. For early-stage investors, this pain point has intensified as deal flow has become more global and competitive, forcing funds to make faster decisions with less information. Altis enters this environment by positioning itself not as another data aggregator, but as a workflow platform designed to structure and accelerate the internal research process.
The total addressable market (TAM) for venture intelligence is not directly quantified by third-party reports for Altis's specific offering. However, the broader market for private company data and analytics provides a useful analog. According to a 2023 report from Grand View Research, the global market for business intelligence and analytics software was valued at $29.42 billion in 2022 and is projected to expand at a compound annual growth rate of 7.6% from 2023 to 2030 [Grand View Research, 2023]. While this encompasses a vast range of tools, the segment serving financial services and investment professionals represents a significant portion. More directly, PitchBook, a major competitor in private market data, reported that its parent company, Morningstar, generated $1.67 billion in revenue in 2022, with its data and analytics segment being a primary contributor [Morningstar, 2023]. This suggests the market for institutional-grade investment research infrastructure is substantial and well-funded.
Demand for Altis's proposed solution is driven by several tailwinds. First, the proliferation of venture capital as an asset class has increased the number of funds and analysts, each needing to differentiate their sourcing and diligence capabilities. Second, the sheer volume of startup data from sources like Crunchbase, PitchBook, and news outlets creates an analysis bottleneck; tools that can filter and synthesize this noise are increasingly valuable. Third, the post-2022 market correction has placed a premium on rigorous diligence and conviction-building, moving beyond simple funding alerts to deeper, primary-source research. These drivers point to a growing need for the structured workflows Altis aims to provide.
Key adjacent and substitute markets include general-purpose business intelligence platforms like Tableau or Power BI, which some funds repurpose for internal reporting, and custom-built research tools developed in-house. The primary competitive threat, however, comes from established venture intelligence platforms that have already captured market share and user habits. Regulatory forces are minimal for a software tool in this space, though macroeconomic cycles heavily influence demand. A downturn in venture activity could pressure fund budgets for third-party software, while a boom would likely accelerate adoption as funds seek any edge to deploy capital efficiently.
Given the absence of specific, cited market sizing for Altis's niche, a segmentation chart is not possible. The most relevant sizing claims are analogous and drawn from the broader analytics industry.
| Market Segment | Size (2022) | Projected CAGR | Source |
|---|---|---|---|
| Global BI & Analytics Software | $29.42B | 7.6% (2023-2030) | [Grand View Research, 2023] |
| Morningstar Data & Analytics Segment Revenue | $1.67B (total company) | Not specified | [Morningstar, 2023] |
is that Altis is targeting a wedge within a large and growing market for data-driven decision-making tools. Its success will depend less on the overall market size and more on its ability to capture a specific, high-value workflow within venture capital that existing generalists or data aggregators have not adequately served.
Data Accuracy: YELLOW -- Market sizing is drawn from analogous, broad industry reports, not specific to the venture intelligence niche. Demand drivers are inferred from sector dynamics and the company's stated positioning.
Competitive Landscape
MIXED
Altis enters a market where the primary competition is not a lack of data, but a surplus of noise; its positioning suggests a focus on structured research workflows rather than raw data aggregation for early-stage investors.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Altis | Research infrastructure for VC diligence and sourcing. | Pre-seed (2025). Backed by Primary Venture Partners. | Emphasis on primary research to build bull/bear cases for Series A/B/C deals. | [Primary Venture Partners, 2025]; [LinkedIn, 2025] |
| CB Insights | Predictive intelligence platform for private company data. | Mature, venture-backed. | Extensive historical funding database, broad market coverage, and predictive analytics. | [CB Insights] |
| Harmonic | AI-powered platform for private market research and diligence. | Venture-backed (Series A). | Applies AI to analyze startup traction signals and automate parts of the diligence process. | [PRIVATE] |
| Rings AI | Generative AI platform for investment research. | Venture-backed. | Focus on generating narrative-driven research reports and summaries using LLMs. | [PRIVATE] |
The competitive map for venture intelligence splits into three distinct segments. Established data incumbents, like CB Insights, offer comprehensive, historical datasets and broad market coverage, serving as a foundational tool for many firms. A newer wave of AI-native challengers, including Harmonic and Rings AI, focuses on automating analysis, whether through traction signal detection or generative report writing. Adjacent substitutes exist in the form of general-purpose data providers like PitchBook and Crunchbase, which offer core financial data but less structured analysis, and the internal research teams of large venture firms, which represent the in-house capability Altis aims to augment or partially replace.
Where Altis has a potential edge today is in its stated focus on the specific, high-conviction workflow of building investment committee cases. Its differentiation rests on the promise of delivering not just data, but synthesized primary research,interviews with customers and experts,to frame key debates [Harvard FAS, retrieved 2026]. This is a perishable edge, however. It depends entirely on the quality and speed of its human-led research process, which is difficult to scale without degrading the very value proposition. A durable advantage would require building proprietary data networks or workflow integrations that become entrenched in a firm's process, elements not yet visible in the public record.
The company is most exposed on two fronts. First, it lacks the scale and brand recognition of an incumbent like CB Insights, which can compete on breadth and historical depth. Second, it faces direct pressure from AI-driven platforms like Harmonic, which aim to automate the very analytical tasks Altis might perform manually, potentially offering faster, cheaper insights at scale. Altis cannot easily compete on pure data volume or algorithmic speed; its success hinges on convincing investors that nuanced, human-contextualized analysis is worth a premium over automated outputs.
The most plausible 18-month scenario involves further market segmentation. If Altis can successfully embed its service with a cohort of early-stage funds and demonstrate tangible impact on deal flow or decision quality, it becomes a specialized tool for conviction-building. The "winner" in this case would be Altis, carving out a sustainable niche. The "loser" would be a generic AI research wrapper that fails to move beyond surface-level summaries, as investors seeking deeper diligence migrate to more tailored solutions. Conversely, if AI tools rapidly advance to credibly automate primary research synthesis, platforms like Rings AI or Harmonic could marginalize Altis's manual approach.
Data Accuracy: YELLOW -- Subject positioning confirmed by company and investor sources. Competitor details for Harmonic and Rings AI are from private research; CB Insights is a public entity.
Opportunity
PUBLIC If Altis can successfully build and sell its promised research infrastructure, the prize is a foundational role in the decision-making workflows of the venture capital industry, a market whose participants collectively deploy tens of billions of dollars annually and have shown a consistent willingness to pay for intelligence that sharpens their edge.
The headline opportunity for Altis is to become the default research and diligence operating system for early-stage venture capital firms. This outcome is reachable because the company is targeting a specific, high-value workflow gap rather than the broader, more saturated market of public data aggregation. The evidence suggests a focus on the internal process of building conviction, from market mapping to committee preparation, which is a persistent pain point for investors. The backing from Primary Venture Partners, a firm with deep operational experience in the New York VC ecosystem, provides a credible launchpad into initial design partners and a network that understands the problem firsthand [Primary Venture Partners, 2025]. The company's stated goal is to help investors "make faster, better decisions on Series A/B/C companies" by structuring primary research into bull and bear cases [Harvard FAS, 2026], a service that, if productized effectively, could embed itself at the core of an investment team's workflow.
Growth from a pre-seed startup to a category-defining platform would likely follow one of several concrete paths. The table below outlines two plausible scenarios.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| The Platform Wedge | Altis's primary research service becomes the trusted standard for diligence on Series B/C rounds, creating a beachhead to later sell its underlying workflow software to the same firms. | A marquee venture fund publicly credits Altis's research for a high-conviction investment in a breakout company. | The founder's launch post explicitly frames the product as "research infrastructure," suggesting a service-led software model [LinkedIn, 2025]. Early-stage VCs are relationship-driven and often adopt tools endorsed by trusted peers. |
| The Data Network | The accumulation of proprietary, structured research on hundreds of companies creates a unique dataset that becomes more valuable than the tool itself, attracting larger funds and eventually LPs as customers. | Altis publishes a first-of-its-kind benchmark report derived from its aggregated diligence findings, gaining widespread industry attention. | The company's methodology of building "bull and bear cases through primary research" is inherently generative of non-public insights [Harvard FAS, 2026]. This creates a data asset competitors cannot easily replicate without the same process. |
Compounding for Altis would manifest as a classic expertise network effect. Each completed research engagement deepens the team's understanding of specific sectors and business models, improving the speed and quality of subsequent analyses. More importantly, as the platform is used by more investors, it begins to standardize how investment theses are structured and debated. This creates a form of workflow lock-in; if a firm's entire diligence process is built around Altis's framework, switching costs become significant. The cited evidence shows the ambition to build "infrastructure," which implies a focus on creating these sticky, embedded processes from the outset [altis.vc, retrieved 2025].
The size of the win, should the Platform Wedge scenario play out, can be framed by looking at a comparable. CB Insights, a provider of broader market intelligence to venture and corporate clients, was valued at over $1 billion in its 2021 Series D round [Reuters, 2021]. A platform that becomes deeply embedded in the core diligence workflow of venture firms, commanding a premium for its role in mitigating investment risk, could plausibly target a similar valuation scale over a longer horizon. This represents a scenario where Altis captures a material portion of the venture intelligence budget across a significant segment of the VC market (scenario, not a forecast).
Data Accuracy: YELLOW -- Core opportunity thesis is inferred from company positioning and investor backing; specific growth catalysts and comparable valuation are supported by single sources.
Sources
PUBLIC
[Primary Venture Partners, 2025] Altis - The venture intelligence company | https://www.primary.vc/companies/altis
[LinkedIn, 2025] I am the founder and CEO of Altis and today we’re launching research infrastructure for venture capital. | https://www.linkedin.com/posts/cfreeberg_i-am-the-founder-and-ceo-of-altis-and-today-activity-7429896024535584768-mAsi
[altis.vc, retrieved 2025] Altis.vc | https://altis.vc
[Crunchbase, retrieved 2026] Altis | https://www.crunchbase.com/organization/altis-5a0d
[ZipRecruiter, retrieved 2026] Paid Intern, Venture Intelligence Program | https://www.ziprecruiter.com/c/Altis/Job/Paid-Intern,-Venture-Intelligence-Program/-in-New-York,NY?jid=a8c6940a27e55c07
[Harvard FAS, retrieved 2026] Altis | https://fas.harvard.edu/
[Grand View Research, 2023] Business Intelligence & Analytics Software Market Size Report, 2023-2030 | https://www.grandviewresearch.com/industry-analysis/business-intelligence-bi-market
[Morningstar, 2023] Morningstar, Inc. Reports Fourth-Quarter and Full-Year 2022 Financial Results | https://www.morningstar.com/news/business-wire/20230215006262/morningstar-inc-reports-fourth-quarter-and-full-year-2022-financial-results
[CB Insights] Predictive Intelligence on Private Companies | https://www.cbinsights.com/
[Reuters, 2021] CB Insights valued at over $1 billion in latest funding round | https://www.reuters.com/technology/cb-insights-valued-over-1-bln-latest-funding-round-2021-10-05/
Articles about Altis
- Altis Builds the Bull and Bear Case for the Series A Committee — The New York-based venture intelligence startup, backed by Primary Venture Partners, is betting on primary research as its wedge into a crowded market.