Search and set up your pipelines.
For deal teams who live in the browser. Search 28M+ companies, parse decks, build enrichment columns, share lists with your team — all in one persistent, multi-user workspace.
Start free trialStart with a plain-English market description and see beyond the familiar names. AlphaLens expands what LLMs and agents find first, using the largest company and product dataset of its kind to surface the private, niche, and long-tail players they miss.
28M+companies100M+products4.8 on G2
7-day free trial with 500 credits. Choose any plan now, pay only after the trial unless you cancel.

0 uncovered through AlphaLens
Claude baseline
model + web context
Search products
GET /search/products/search
Expand organizations
GET /search/organizations/search
Find similar
GET /search/organizations/{id}/similar
AlphaLens has upgraded our entire origination workflow. The combination of semantic search, enrichment, and CRM delivery is incredibly powerful'
Director of Corp Devat a Fortune 500 co
01 · Platform
Web app, agents, REST API, Chrome extension — all four ship with every plan. Start with 7 days free and 500 credits, then continue on the credit pool and seat limit that fit.
For deal teams who live in the browser. Search 28M+ companies, parse decks, build enrichment columns, share lists with your team — all in one persistent, multi-user workspace.
Start free trialExamples of what agents + AlphaLens skills can produce
Artefacts are only viewable on laptop or larger.
M&A artifacts like the Flexport target landscape are coming soon to the skills repo, in line with M&A data being released to production in Q2.
One line installs the AlphaLens skill into Claude Code, Cursor, OpenCode, Codex — any modern coding agent. Agents read the skill, fan out across the API, and ship standalone HTML artifacts. Examples on the right.
$npx skills add alphalens-intelligence/alphalens-skills
Generate API keys directly in the app, then call the same versioned OpenAPI 3 surface your agents use. Pipe results to S3, Snowflake, BigQuery, or your internal data lake.
curl -G "https://api-production.alphalens.ai/api/v1/search/products/search" \ -H "API-Key: $ALPHALENS_API_KEY" \ --data-urlencode "description=AI-powered analytics platform" \ --data-urlencode "country_keys=US" \ --data-urlencode "country_keys=GB" \ --data-urlencode "employee_count_range_min=10" \ --data-urlencode "employee_count_range_max=500" \ --data-urlencode "product_categories=software" \ --data-urlencode "limit=24"
EvenUp
San Francisco, United States
The company offers AI-powered legal technology solutions that automate and enhance personal injury case management, including demand letter creation, medical chronology analysis, and settlement workflows.
Show more
Headcount
728
+7.2% QoQ
Last round
7 months ago
Funding total
$370.5M
Founded
2019
One click on any company website. Instant entity card with funding, headcount, products, and similar companies. Add to a pipeline without leaving the page. All you need is an API key, available from the starter plan.
Install the extension →Try the full stack
Use 500 credits to test semantic search, deck parsing, enrichment, and CRM sync before your plan starts.
02 · Core workflows
Search by meaning. Parse decks into structured records. Enrich with cited sources. Deliver to your CRM as a strict staging environment. Each step composable, each step the same credit pool, each step usable by humans or agents.
Search for companies building products that look like Tandem Health's underlying workflow — then narrow to funded teams in the US. Product-level similarity shows who is really building the thing, not just who uses the right keywords.
Semantic search over 100M+ products, joined to company funding, geography, headcount, and growth signals.
Save the search. AlphaLens checks for new funded US matches daily and streams them into your organization pipeline.
Throw any deck at the document pipeline. AlphaLens parses every slide, resolves the company against the 28M-entity graph, and writes the result as a row — name, pitch, traction, raise stage, ready to enrich.
PDF · DocSend · Pitch.com · Google Slides · email forwarder with thread context · Chrome extension.
Slides become rows. Companies get matched to the graph. Every field auditable.
Three engines, one credit pool. Every cell either grounded in the entity graph, cited from live web research, or read directly from the source deck. Every answer auditable to the source.
Cheaper, faster. Uses our 28M-entity graph as context for questions we already have the answer to.
Live agent. Searches, cross-references, cites every source. Returns a certainty score on every cell.
Document pipelines only. Reads slides directly — image and text — for facts that only exist in the deck.
Native CRM sync
New companies land in the right stage automatically.
Inbox
(4)Widget AI
Raising
$9m
Country
US
Northwind Trading
Raising
$2.5m
Country
UK
Contoso Labs
Raising
$6m
Country
US
Fabrikam Data
Raising
$1.5m
Country
FR
1st call
(3)Widget AI
Raising
$9m
Country
US
RedOak Advisory
Raising
$4m
Country
US
Bluebird Robotics
Raising
$6m
Country
SE
Expedite
(2)Atlas Foundry
Raising
$3m
Country
UK
Velo Systems
Raising
$5m
Country
FR
Map any AlphaLens column to any CRM field. We push, we don't pull. AlphaLens stays the source. Your CRM stays the golden record. The 1st-impression memo, the enriched fields, the people — all of it, native.
HubSpot · Affinity · Attio. Field-mapped, audited per cell, no bidirectional mess.
Or skip the CRM entirely. Drive the same outputs through the API. Same credit pool either way.
03 · Entity data + AI enrichment
Start with resolved entity data, then use agentic enrichment only where the graph stops. AlphaLens combines stable company facts, live web research, decks, documents, sources, and confidence intervals into trusted screening outputs.
Company attributes, links and more.
HQ & branch locations (stree/city/country)
Funding history with investors amounts and stages.
Headcount, Web Traffic, Socials & Jobs.
What do they sell, core features, and who buys it,
Decision makers and leadership context for qualification.
Key decision makers
Agentic answers
Configure typed agent columns, ground outputs in verifiable sources, and return answers your workflow can use immediately.
Configure AI Agent
AI Agent (Web Research) · Step 2 of 2
Column Name *
Defensibility Vector
Web Research Mode
Enable live web search and cite source URLs.
Output Type *
Options *
Instructions / Prompt *
Context Fields *
Before you compare tools
Run one real market map, one inbound deck, and one CRM handoff during your 7-day trial. The comparison gets obvious when the workflow is yours.

04 · Us vs. Them
Most private-markets data platforms still cost five figures a year and stop at firmographics. Here's how Alpha Lens stacks up against the incumbents.
View full comparisonThe vendor matrix is built for wider screens. Open on a tablet or desktop for the side-by-side, or use the link below.
View full comparison| Feature | ||||
|---|---|---|---|---|
| CostEntry Level Pricing | 7-day trialthen from $49/mo | ~$25K / year | ~$18K / year | ~$34K / year |
| Companies coveredPublic and Private | 28M+ | 18M | 19M+ | 9M+ |
| Products trackedSearchable Offerings | 100M+ | 0None | 0None | 0None |
| Semantic searchOrgs, Products, and ICP | Yes | Partial | Partial | No |
| Funding data freshnessUpdate frequency | Daily | Daily | —Not published by vendor | Intra-day |
| Deck parsingPDFs, decks & memos | Yes | No | No | No |
| AI enrichment pipelinesNo-code tables, CRM routing | Yes | No | No | No |
| API-first / AI-nativeAPIs & Skills.md files for Agents | Yes | Limited | Limited | Limited |
| Custom CRM field mappingInc. AI Agent answers | Yes | No | No | No |
Capabilities at a glance | ||||
| Firmographic data | Yes | Yes | Yes | Yes |
| People data | Yes | Yes | Yes | Yes |
| Contact data | Yes | Yes | Yes | Yes |
| M&A data | Yes | Limited | Yes | Yes |
| Funding rounds | Yes | Yes | Yes | Yes |
| Headcount data | Yes | Yes | Yes | Yes |
| Web traffic data | Yes | Limited | Limited | Limited |
| Social media following | Yes | Limited | Limited | Limited |
| Job posting data | Yes | Yes | Yes | Yes |
Comparison reflects publicly available marketing materials, vendor docs, and third-party reports as of May 2026. Competitor pricing is reported by Vendr, G2, and public threads where vendors do not publish self-serve tiers. Trademarks belong to their respective owners.
05 · Receipts
What customers say after AlphaLens becomes part of the weekly deal rhythm.
“We map highly fragmented markets where the best targets don't issue press releases. AlphaLens consistently surfaces bootstrapped businesses that the legacy data providers completely miss.”
Origination Lead
Top-5 European buyside M&A firm
“When a banker sends over a teaser, we need to understand the competitive landscape immediately. AlphaLens maps out the solid product overlaps and market context before we even take the introductory call.”
Head of Corp Dev
Listed industrial group · $4.2B mkt cap
“We evaluate hundreds of B2B software companies a year. The ability to query by specific integration ecosystems and buyer personas, rather than generic industry tags, has fundamentally changed how we build target lists.”
Partner
$1.2B AuM growth equity fund
“Our thesis sprints used to require weeks of manual scraping. Now we define highly specific technical criteria, and the platform just feeds us relevant new entrants the moment they hit the search monitor.”
Investment Principal
Tier-1 multi-stage VC
06 · FAQ
Data quality, security, integrations, and what makes AlphaLens different from the legacy databases.
AlphaLens collects information from multiple independent sources and runs it through automated validation, anomaly detection, and cross-source comparison. When the system flags discrepancies, human review is used to confirm or correct the data. The goal is consistent, traceable, and defensible data quality.
Customer workspaces are isolated, access is monitored and audited, and no third party can view your data unless explicitly authorized. AlphaLens never sells or repurposes customer-provided data.
Your uploaded data stays within your private workspace. It is not merged into the public dataset, not used for training models, and not visible to any other customer. You stay in full control of your data.
Legacy platforms focus primarily on company profiles, funding events, and investors. AlphaLens is built around product intelligence: how companies actually build, ship, and grow. You get deeper product-level details, faster coverage, and richer insight into technologies, markets, and competitive signals.
AlphaLens combines accessible pricing, product-level visibility, near-real-time updates, flexible search and filtering, automated enrichment and matching, native CRM integrations, and developer-friendly APIs.
Yes. AlphaLens provides source attribution, timestamps, and context for most datapoints. You can see where information originated and how fresh it is.
Yes. AlphaLens offers native integrations with HubSpot, Affinity, Attio, and other GTM tools, along with API access and webhooks for connecting to internal data stores or workflows.
The dataset is refreshed continuously. If you spot an issue, you can flag it directly in the platform. Verified corrections are propagated quickly to ensure consistency across the system.
Yes. AlphaLens tracks major rounds and investors, but the agent-based approach provides deeper global coverage with higher refresh rates than traditional databases. The core focus is product intelligence, giving you operational and competitive clarity beyond deal history.