Multimodal · Built for scale
Phone calls · Video · Email · Text · Documents
Built on Google Cloud · Powered by Gemini 3.1 Pro · 1M-token multimodal context
The Problem
Calls, video, emails, documents, and transcripts pile up. Manual review doesn't scale. The insight is in there. You just can't query it. Until now.
| Source | Customer | Topic | Sentiment |
|---|---|---|---|
| ACME Corp | Q3 pricing tier review | negative | |
| Stark Industries | Demo pricing pushback | negative | |
| Globex Inc | Tiered pricing inquiry | neutral | |
| Wayne Enterprises | Contract pricing terms | negative | |
| Cyberdyne Systems | Renewal pricing concern | negative |
Enterprise data archives are measured in petabytes. Almost none of it is queryable. We change that.
Anatomy of an extraction
Bring data from anywhere — calls, video, emails, documents, custom sources. Anvo runs your extraction across the full archive and delivers structured output to your stack.
{
customer: string
intent: "renewal" | "inquiry" | "objection"
topics: string[]
action_items: Array<{
task: string
owner: string
due: date
quote: string // verbatim, timestamped
}>
sentiment: {
label: "positive" | "neutral" | "negative"
score: number // -1.0 to 1.0
trajectory: number[]
}
risk_signals: string[]
confidence: number // 0.0 to 1.0
}How It Works
Built on Google Cloud and Vertex AI. Horizontal scaling — capacity grows with your usage.
Why Anvo
Zero retention after extraction. HIPAA-compliant infrastructure available. VPC deployment for sensitive workloads.
Schemas, integrations, structured data — all yours. JSON to your warehouse, sheet, webhook, or BI tool. No vendor lock-in.
Horizontal scaling on Google Cloud and Vertex AI. From one file to millions — capacity grows with your usage. Concurrent processing across every pipeline stage.
From sample to scale in days. Pilot in one week. Production in two more.
FAQ
Throughput scales horizontally on Google Cloud Run and Vertex AI — there's no ceiling beyond your Google Cloud quota. Average extraction latency is around 2.4 minutes per file. Typical deployments run thousands of files concurrently; for high-volume workloads we provision more on demand. Bring us a petabyte, we'll structure it.
Any modality: audio, video, email, text, documents — analyzed natively on Gemini 3.1 Pro's 1M-token multimodal context. We've shipped for healthcare, pharma, financial services, operations teams, and real-time vision systems for surgical applications.
Zero retention after extraction — your audio, video, documents, and text are never stored. HIPAA-compliant infrastructure available. For sensitive workloads we deploy in your VPC. All processing runs on Google Cloud with enterprise-grade isolation.
Start with a pilot: bring a sample of your data, configure an extraction, and get structured output back within 1–2 weeks. From there you run jobs on demand, schedule batches, and connect Anvo to your data sources and warehouse. You own the output.
Start a Pilot
Configure a custom extraction, run it across your files, and get structured output back. Two-week pilot. No commitment beyond that.
What you'll get
A custom extraction built for your data
Fields, formats, and signals defined with you
Structured output from your sample
JSON to your warehouse, sheet, or webhook
A production rollout plan
Integration, scale, and timeline mapped out
Two-week pilot
Configure the schema. Anvo runs it across your sample. Structured output back to you. No long-term commitment required.