One API that reads documents, images, audio, video, structured data, and sensor streams — and cites the exact source of every field it returns.
Three commitments the product is built on. Every capability page inherits them.
Every value carries a citation — page and coordinates for docs, timestamps for audio and video, bounding boxes for images, row and column for tables. No silent guesses.
One platform across text, images, audio, video, documents, structured data, and sensor streams. Not seven point tools stitched together.
Latency SLAs, isolated tenants, region-pinned. Deploy in our cloud, deploy in yours, or run zero-retention on every call.
Ingest → parse → extract → transcribe → index → link → classify → reason. Compose them in workflows with human-in-the-loop gates.
Concrete workflows across industries — filter to yours.
Damage severity per region, statements grounded to policy clauses, fraud score with evidence trail.
Cycle time from days to minutes on packets that pass every automated check.
Assembled evidence bundles — image, audio, doc, timeline — reviewer-ready.
Fiber acoustic sensing, verified by CCTV where available, fused into one geolocated alert with an evidence packet ready for law enforcement.
Playbooks propose. Watch commanders confirm. Every action logged with the fused evidence that supported it.
Historic incidents + real-time signal fusion surface the segments most likely to be hit next.
Who's on screen, where, what's being said. All grounded to a timestamp.
"Clips where a brand is visible and mentioned in commentary" — one query, ranked results.
Rights PDFs + rights-holder spreadsheets, joined and enforced at the segment level.
Canonical descriptions, size charts, materials — filled without a human touching them.
Sizing, quality, fit — flagged into the catalog before they become returns.
Vendor image + spec sheet → publishable listing, same day.
Likely failure mode, required parts, matched manual section.
Dispatchers see the correct kit before dispatch — from evidence, not guesswork.
Severity, SLA, and repeat-visit risk fused into a single dispatch score.
Flagged events grounded to the specific policy clause they relate to.
Reviewer-ready bundles with the transcript, the message, and the clause side by side.
Bring the audit close from weeks to days, with an immutable trail.
Take any two or more parsed inputs — a transcript and a spec, a photo and a form, a LiDAR frame and a video clip — and get an entity graph with edges tagged by the evidence type that supports each link.
Any two or more parsed inputs across supported modalities.
PDFImageScreenshotAudioVideoCSV / JSONLiDARAcoustic Sensing signalsEntity graph. Every edge tagged with evidence type + source citation + confidence + model version.
JSON graphBounding boxesTimestampsPoint-cloud regionsModel versionModality-specific encoders feed a joint entity graph. Every candidate link is scored against corroborating evidence before it lands in the output.
Every edge carries an evidence bundle and a confidence score. Below your threshold, the edge is dropped, not silently kept.
Model versions are pinned per project. Same input + same version = same output, so you can defend a decision six months later.
Livebits fuses LiDAR, fixed and PTZ video, thermal, audio, and distributed-fiber sensing along the right-of-way into verified, geolocated alerts. Before the wire leaves the site.
One alert, three corroborating signals. Thermal spike at 47.6, audio signature classified as impact + cutting, fiber acoustic sensing anomaly on the same segment. Evidence bundle assembled and dispatched to duty officer.
More the signals better the accuracy. LiDAR sees the shape. Video sees the person. Thermal sees the tool. Audio hears the cut. Fiber senses the disturbance. Livebits reasons across them.
Anonymous rate-limited runs. Nothing you upload is stored beyond the session unless you sign in.
{
"entities": [
{
"id": "damage_area_1",
"class": "vehicle_damage",
"severity": "sev-3",
"policy_clause": "POL-4.2.1",
"confidence": 0.94,
"evidence": [
{"modality":"image",
"source":"damage.jpg",
"bbox":[128,240,512,640]},
{"modality":"audio",
"source":"call.mp3",
"t_start":12.4,"t_end":15.7},
{"modality":"document",
"source":"policy.pdf",
"page":4,
"bbox":[72,198,540,232]}
]
}
]
}