For engineering teams
Turn your document processes into AI agents
Nanonets converts your field specs, data contracts, validation rules, and integration runbooks into AI agents that run your document processes — inside the product you ship.
Extraction pipeline
This week- 3480documents in
- 212held for review
- 46schema mismatches
- 94%auto-delivered
- DOC-40218Northwind Health42Delivered
- DOC-40255Cardova Retail18Extracting
- DOC-40291Kestrel Labs61Schema gap
- DOC-40318Bramble Foods27Approval
- DOC-40344Orbit Freight33Delivered
Used by 35% of the Fortune 500 and 10,000+ enterprises
Top software teams
put Nanonets to work on:
- Agent tool integration
- Compliance evidence pulls
- Human-in-the-loop review
- Document extraction API
- PDF-to-JSON pipelines
- Table & line-item parsing
- Customer onboarding docs
- Contract ingestion
- KYC & identity checks
- Invoice parsing for billing
- Support ticket attachments
- Schema validation
- Multi-tenant routing
- Exception review queues
- Webhook delivery
- Data migration backfills
- Custom model fine-tuning
Turn a data contract into a working agent — in one upload.
Import the field spec, data contract, or integration runbook your engineers already maintain. Nanonets reads it, builds the agent, and shows which clause produced each rule.
- 01Import process docsDrop in the data contract, extraction spec, or onboarding runbook your team already keeps beside the code — Markdown, PDF, DOCX.
- 02Agent auto-builtNanonets parses them into a context graph. It outlines the agent's role, splits the process into phases, and adds the tools each step needs.
- 03Review, approve, runEvery learned rule is explained and traced to the exact text it came from. Agents take decisions strictly based on these rules.
Data contract says §4.2
“…every ingested record must carry a tenant_id and a document_type; where the extracted total deviates from the sum of line items by more than 1%, the record must not be written to the warehouse…”
Nanonets extracts rule
If the extracted total and the line-item sum differ by more than 1%, hold the record for review instead of writing it to the warehouse.
Help agents solve the most complex problems with context graphs.
A tenant's pipeline is rejecting 12% of uploads on a custom v3 field schema, their totals drift past the 1% tolerance, and their engineer flagged it in Slack on Friday — do we retry or escalate?
One question. Five kinds of context, each in a different system — the schema registry doesn't know the data contract, and the logs don't know what the customer said.
How the Context Graph works →Data contract & field spec
Policy context ➔ Which fields are required?
tenant_id + document_type · 1% total tolerance
Schema registry & tenant config
System-of-record context ➔ Which schema is this tenant on?
Acme · custom v3, 61 mapped fields
Pipeline runs & error rates
Computed context ➔ How far past tolerance?
12% rejected · 46 schema mismatches this week
Slack & support threads
Conversation context ➔ What did the customer report?
Failed webhooks flagged Friday 18:40
Incident & escalation runbook
SOP context ➔ Retry or escalate, and to whom?
Two auto-retries → on-call → account engineer
How it works
Send. Extract. Validate. Deliver. Your pipeline handles decisions. The agent handles documents.
Agents used by engineering teams
35% of Fortune 500 and 10,000+ companies use Nanonets
Customer story · StarTex Software
“What used to take our team 10 minutes per SDS now takes 10 seconds. Nanonets reads all 18 sections, extracts everything we need, and flags the few fields it’s unsure about.”

- Per Safety Data Sheet
- 10 min → 10 sec
- Auto-approved fields
- 0% → 90%
- Extraction confidence
- 96%
- Human review load
- every document → 10% of fields
Teams using Nanonets see
- 95%Straight-through processing
- 80%Reduction in associated costs
- 15×Quicker turnaround times
Built for how modern
enterprises work.
Nanonets meets the highest industry standards for your security & compliance. We include all default controls that you'd expect, including SAML SSO, audit logs, IP allow-listing, data lifecycle management, and much more.
- SSO & SCIM
- SAML, OIDC, and SCIM user provisioning with Okta, Azure AD, Google Workspace.
- Role-based access
- Full RBAC and fine-grained access control across orgs, workspaces, agents.
- Audit logs
- Every agent run, approval, and data access is recorded, and streams to your SIEM.
- Private deployment
- VPC, single-tenant cloud, or on-prem. Choose your infrastructure and network policies.
- Data residency
- Pin data processing to US, EU, APAC regions. Customer data never leaves your boundary.
- Human-in-the-loop
- Configure approval gates to route edge cases to Slack, Teams, or email for review.
- Encryption at rest & in transit
- AES-256 at rest, TLS 1.3 in transit. BYOK supported for all customer-managed keys.
- Usage quotas & rate limits
- Per-team budgets and API quotas with real-time cost dashboards. No surprises.
Security built in, not bolted on.
Your data and your company brain never leave your boundary. Independently audited every year, with compliance controls enforced by the platform — not promised on a page.
Held and current — not roadmap targets.
SOC 2 Type IIOngoing security controls
GDPREU data protection
HIPAABAA on enterprise plansSee it run on your process.
From AI-native hypergrowth companies to Fortune 500 enterprises,
Nanonets automates business processes so teams can focus on what matters.




