Board-grade intelligence on any company.
Analyze any company before you invest, compete, or acquire. Every conclusion links back to evidence, across 7,401 fully audited companies. Search one below.
Limited onboarding while we calibrate the models with early customers.
Look up a real company. Read real output.
A live search across a public sample from the corpus: real companies, real forensic scores, one real finding from the most recent audit. This is engine output, not a mockup. Full board-grade dossiers are $599 each, delivered in 5 business days.
Scores and findings are computed by the engine from public disclosure and digital signal, with provenance. Sample is read-only and refreshed from the corpus.
The corpus is the asset.
12,179 companies indexed. 7,401 fully audited. Every company observed adds resolved entities, weighted relationships, and validated findings to one cross-company knowledge graph, so each new audit is grounded in everything the corpus already knows. This is accumulated organizational memory, and it is not reproducible in a quarter.
Competitors, foundries, memory, hyperscaler customers, model labs, server OEMs, and GPU clouds, resolved as one graph.
Every link is derived from evidence, not assumed, and carries a relationship type, a weight, and a confidence.
A finding on one company is scored against its cluster. Each peer carries its own Revenue Friction Index.
Analyze a public company.
Type a company and watch it move through the engine: signals arrive, the graph updates, inference runs, the Revenue Friction Index resolves, and an executive finding appears. Illustrative simulation
Channel concentration elevates revenue risk despite record demand.
Where future growth is constrained.
One score for where future growth is constrained, decomposed into confidence-scored dimensions and benchmarked against real peers. Here is what it looks like on a real company.
Illustrative output. Representative of the platform's analysis structure. Company shown is a public entity analyzed from public data; no affiliation or endorsement implied. Live customer outputs replace this for design partners.
Every conclusion links back to evidence.
A static report decays the day it ships. Colleviate runs continuously, so the intelligence stays current and every number stays traceable to its source.
Grounded intelligence
Inference runs retrieval-grounded against the cross-company knowledge graph. Findings are scored against real peers and carry confidence, so the output is decision-grade signal, not model opinion.
Continuous governance
Observation loops re-score the Revenue Friction Index as new signals land, collapsing signal-to-decision latency from quarters to hours. Governance becomes a standing control plane, not an annual review.
End-to-end provenance
Every metric carries provenance: source citation, confidence score, and decision traceability from raw signal to board sentence. 100 percent of corpus metrics are grounded.
An actual system, with feedback loops.
Signals flow from the open internet through parallel collection, into a graph and evidence layer, through grounded multi-agent inference, and back into memory. Private connectors embed the same loop into internal systems, RevOps, CRM, and ERP, for real-time diagnostics and sustained governance; connected first-party data is isolated per customer and never feeds the shared corpus. The dashed paths are feedback and planned work.
parallel collection · retrieval-grounded inference · confidence propagation · graph evolution · feedback into memory · dashed = planned
Measurable, today.
Counts measured from the live corpus on 12 Jul 2026. Verification rate measured across 2,315 claim-verification records; method on the methodology page.
A decision model. Not a methodology.
MOSAMBI is Colleviate’s internal decision model for weighting evidence and resolving enterprise growth signals across multiple dimensions.
It is a technical component of the platform, not a consulting methodology. It defines how the engine weights evidence, scores each dimension, and resolves a company into one growth signal, calibrated against the corpus.
MOSAMBI is calibrated against a corpus of 10,000+ companies and 5,200+ full forensic audits, so output quality is a function of corpus size. This diagram illustrates the mechanism; it is not a projection of future results.
What a technical investor asks first.
The crawler, evidence grounding, knowledge graph, reasoning engine, Revenue Friction Index, and board reports run today. Autonomous execution is not built; it is on the roadmap and labeled as such. Sample outputs on this page are marked illustrative.
Findings are scored by evidence depth and checked against the cross-company corpus. Validation against realized outcomes is the active work with design partners, comparing predicted friction to subsequent results.
It is an algorithm: a defined way to weight evidence, score each dimension, and resolve a company into a signal, calibrated against the corpus. Its value compounds with the data it runs on, so it strengthens as the corpus grows.
The defensibility is not the model. It is the continuously accumulated cross-company graph and the calibration that comes from observing thousands of companies over time. That data and its labels are not purchasable in a quarter.
Every company observed adds resolved entities, relationships, and validated findings. The graph and its confidence calibration are unique to Colleviate and sharpen with each pass.
Audits re-collect on a 14-day cycle, and longitudinal history accrues per company on every pass, so the Nth audit reads a trajectory, not a snapshot. Counts on this page are measured from the live corpus, dated, and updated with each release.
Outside-in intelligence needs no integration to start. A design partner sees value before connecting a single internal system, then embeds the platform into RevOps, CRM, and ERP through private connectors, turning one audit into real-time growth diagnostics and sustained governance. First-party data stays isolated to that customer; the shared corpus is public-signal only.
Enterprise software has systems for finance, security, engineering, and operations. It has no system for reasoning about growth. That is the gap Colleviate exists to fill.
The work is systems, not campaigns: continuous observation, a cross-company knowledge graph, and grounded analysis that produces explainable, board-ready intelligence. The team builds it after years inside enterprise growth, where the recurring failure was structural rather than tactical. Every function had instrumentation. Nothing reasoned across them.
Who uses Colleviate.
One platform, read outside-in from public signals. Each team uses the same evidence-grounded intelligence for a different decision. Colleviate is the software you run; you own the relationship and the call.
See your own growth friction
Read your company the way the market already can, and get an evidence-backed view of where growth is constrained, benchmarked against real peers.
An evidence layer under your work
Ground strategy and pitches in cross-company evidence before the work begins. You own the client and the execution; Colleviate is the intelligence beneath it.
Read a target before the data room
Screen and diligence companies from public signals, with confidence-scored findings and full evidence traceability, before the process starts.
Keep every target current
Monitor a full set of targets and competitors continuously, with evidence attached to every movement, so research never goes stale on delivery.
A live read on where growth is constrained
Run a continuously updated Revenue Friction Index across the companies you care about, grounded in cited evidence with confidence scores.
Point it at your universe
Apply outside-in analysis and grounded reasoning to a specific set of companies. Enterprise Portfolio tier, $10,000–$30,000 per year.
Field notes on enterprise growth intelligence.
Outside-in due diligence
What investors can know from public signals before the data room opens.
Early warning signs of distress
The earliest markers show up in public behavior long before the filings confirm them.
Why a graph beats a dashboard
A dashboard describes one company. A graph that has seen thousands can judge it.
Common questions.
Colleviate is an AI-native enterprise growth intelligence platform. It reads any company outside-in from public signals, builds a cross-company knowledge graph, runs grounded evidence-cited inference, and produces a Revenue Friction Index that shows where growth is constrained. It is software, not an agency.
No. Marketing, consulting, SEO, and RevOps are implementation layers. Colleviate is a software product that observes, reasons, and produces a board-grade dossier. It does not run campaigns or replace your team.
The Revenue Friction Index is a continuously updated enterprise health signal, comparable to a credit score. It quantifies where a company is losing growth, decomposes into confidence-scored dimensions, and updates as new evidence arrives.
It reads companies outside-in from public signals: website and performance, search visibility, reviews, hiring, pricing, filings, and competitive movement. No onboarding or internal data access is required to start, which is what lets it analyze any company.
Yes, by design. Outside-in analysis requires no access and is how every engagement starts. From there the platform embeds into internal systems such as RevOps, CRM, and ERP through private data connectors, so diagnostics run against live internal data and governance is sustained rather than episodic. The data boundary is strict: your first-party data stays yours, is used only for your own diagnostics, and never enters the shared corpus or the cross-company graph, which are built entirely from public signals. Connectors are in development with design partners.
Any company, any tier, on the pricing page. Executive Dossier is $599 one-off, delivered board-ready in 5 business days. Intelligence Subscription is $399 per month. Read a real sample first at colleviate.com/sample-dossier.
Three ways to start.
Look up any of 7,401 monitored companies for free. Request a full board-grade Executive Dossier on one company for $599, delivered in 5 business days. Or subscribe at $399 per month to monitor five companies continuously, with one dossier included each quarter, so the board never has to ask “what changed” again.
Card-safe payments via Razorpay. Or email sid@colleviate.com.