Turn competitor videos into queryable intelligence
Lirovo reads every earnings call, product keynote and analyst briefing the way your team wishes it could, pulling out the claims, numbers and decisions, each one timestamped and checked against its source.
Works with the sources you already use
One pass over the recording, the whole story
Lirovo reads what was said and what was shown, then returns it as data.
Pull the signal out
Every claim, figure and named entity inside a recording, extracted into structured fields you can filter and compare. No more scrubbing through hours of footage to find one number.
Build a queryable graph
People, companies, topics and claims are linked into a knowledge graph, so you can trace who said what about which product, across every video you process.
Check the claims
Competitor assertions are fact-checked against the live web, so you know which numbers hold up and which are marketing, with citations attached.
Where it fits
Explore how Lirovo powers use cases across your workflows.
Drop in a keynote or demo video and get the feature set, pricing signals and claims back as structured data.
response complete
- Extract every product claim with the second it was said
- Compare positioning across competitors in one graph
- Flag claims that do not match public filings or docs
Drop in a keynote or demo video and get the feature set, pricing signals and claims back as structured data.
- Extract every product claim with the second it was said
- Compare positioning across competitors in one graph
- Flag claims that do not match public filings or docs
Built on a platform you can trust
Power mission-critical work with guarantees that are architectural, not optional.
Evidence and verification
Every value links back to the exact second it came from and whether it was said or shown, and claims are checked against their sources.
Learn moreTyped, schema-shaped output
Results come back as structured JSON shaped to your schema, with a confidence score on every field. No prompt-wrangling, no parsing.
Learn moreA queryable knowledge graph
People, topics, claims and decisions are linked into a graph you can traverse across every video you process, not just one at a time.
Learn moreSecure and private
Multi-tenant isolation, encrypted storage and a clear data-handling story, from the moment a video is captured to the moment data is delivered.
Learn moreSee it in the product
Each claim checked against the live web. Verdicts and sources are real.
“Mistral is valued north of $13 billion.”
Confirmed. Mistral's September 2025 Series C, led by chip-equipment maker ASML (€1.3B of a €1.7B round), set the valuation at €11.7B — reported by CNBC as about $14B and elsewhere as $13.8B.
“Mistral is investing ~€4 billion in data centers across France and Sweden.”
Confirmed. 'Mistral Compute' is a ~€4B build-out: Nvidia Grace Blackwell capacity at Bruyères-le-Châtel near Paris, plus ~€1.2B with EcoDataCenter in Sweden.
“Capacity target of 200 megawatts by 2027, scaling to a gigawatt by 2030.”
Confirmed. Mistral Compute's stated roadmap is 200 MW of capacity by the end of 2027, scaling to 1 GW by 2030.
“US hyperscalers are spending north of $700-800 billion a year on AI infrastructure.”
Roughly right for 2026, not as a steady annual rate. The four largest US hyperscalers are forecast to spend ~$700-725B in 2026 (industry-wide estimates reach $800-900B), but 2025 actuals were far lower (~$378B). It is a 2026-forward figure.
“Europe has a two-year window to build independent AI infrastructure or risk becoming a US 'vassal state'.”
Confirmed. Mensch told the French National Assembly on May 13, 2026 that Europe has about two years to build sovereign AI infrastructure or risk becoming a US 'vassal state'.
“Vibe is Mistral's agentic enterprise platform on its open-source models.”
Confirmed. Mistral launched 'Vibe', an agentic enterprise platform, alongside its industrial-AI expansion, merging its coding agent and Le Chat.
“Mistral is acquiring a company that builds models which understand physics.”
Confirmed. Mistral acquired Emmi AI, an Austrian physics-simulation startup (airflow, heat transfer, material stress), in May 2026 to give its models physical-world understanding.
“Partnerships announced with Airbus (better planes) and BMW (safer cars).”
Confirmed. On May 28, 2026 Mistral announced a five-year Airbus deal (AI across aircraft, defence and space) and a BMW partnership focused on crash-simulation and vehicle development.
“Tapping the $30 trillion manufacturing market.”
A TAM framing rather than a verified figure. Global manufacturing gross output runs into the tens of trillions, so $30T is plausible as the addressable market, but there is no single agreed number — and the AI-in-manufacturing software market itself is far smaller (~$34B in 2025).
“Agents will disrupt the SaaS business.”
A forward-looking prediction about the SaaS market, not a checkable fact — no source can confirm or refute it today.
no web sources — opinion / prediction
“'AGI was a PowerPoint concept' — a direction of progress, not a destination.”
A philosophical opinion about how to define AGI, not a factual claim, so there is nothing to corroborate or refute against sources.
no web sources — opinion / prediction
“Owning the full European stack is necessary; token dependency is a critical supply-chain risk.”
A strategic argument rather than a checkable fact. The underlying €4B build-out it rests on is corroborated separately.
no web sources — opinion / prediction
the fact-check view: competitor claims graded against their sources, with citations
What we believe
An answer you cannot trace is an answer you cannot trust. Every value Lirovo returns carries its proof, down to the second.
See it on a competitor's last keynote
Run a live extraction on any public video, or get an API key and pull the intelligence straight into your research stack.
- Align Lirovo to your workflows and use cases
- Pull structured data into your own systems through the API
- Move from a first extraction to production, safely