Agentic AI Documents that finish their own work
The Data + AI platform

Documents. AI. Workflow. eDiscovery.
Built to scale. Built to defend.

Most enterprises run AI on data they can't trust. Or trust the data but can't ship AI on top of it. TeamSync brings both halves together — your data (records, contracts, signatures, eDiscovery) and your AI (copilot, agents, semantic search) on one platform, with one identity model and one audit chain underneath. From mid-market teams to the most regulated industries on earth.

  • Data + AI on one platform
  • SOC 2 + ISO 27001
  • FedRAMP-ready
  • EU AI Act high-risk pack
app.teamsync.com
Show me every contract with a most-favoured-nation clause that triggers if the index transitions from LIBOR to SOFR.
DocuTalk · permissions-aware · audit-anchored

Found 14 contracts across 7 counterparties. 3 contracts require notice within 30 days of index transition.

  • CITED Acme MSA §7.4 — termination on benchmark transition
  • CITED Globex ISDA Schedule — price re-opener clause
  • CITED Initech NDA Annex 2 — repricing on index change
📎 14 source documents 🔒 Bounded by your permissions ⛓ Anchored to audit chain

Trusted by enterprises across 7 regulated industries

  • FINRA-regulated brokers
  • Top-20 global insurers
  • FDA-regulated trial sponsors
  • Federal agencies
  • Am Law 200 firms
  • Major IOCs
  • Tier-1 contractors
  • Mid-market SaaS companies
  • Healthcare networks
  • Manufacturing OEMs
Data + AI

The half most enterprises haven't solved.

Every enterprise has a data stack. Every enterprise wants AI. The hard part is making the 2 work together — at scale, with audit, on regulated content. TeamSync is the platform built for that.

DATA

Records you can trust.

Documents, contracts, signatures, eDiscovery, case files, regulator submissions — federated across the systems where they already live, anchored in one audit chain, governed by one identity model. The data half of the platform.

AI

AI you can ship.

Copilot, semantic search, document summarisation, agentic workflows — all grounded in your data, citation-backed, permissions-aware, audit-anchored. The AI half of the platform.

PLATFORM

One architecture.

Not 2 products glued together. One identity model, one audit chain, one bill — for both halves. Your CISO approves it. Your auditor verifies it. Your CFO signs one contract.

Data + AI
On one platform — not 2 integrations
21 → 0.5 d
Regulator response time on AI-touched data
2–4 hr
Per-worker per-week recovered with grounded AI
100%
Of AI + data events cryptographically anchored
Data + AI capabilities

16 capabilities. One platform. Data and AI on the same platform.

8 data capabilities (records, contracts, signatures, eDiscovery, workflow, capture, templates, rules) and 4 AI capabilities (copilot, semantic search, summarisation, agentic workflows) — all sharing one identity model, one audit ledger, and one set of data structures. No glue layer between data and AI.

We didn't want to replace M365 — we wanted to put a records-of-record platform underneath it that worked across all our content. TeamSync gave us the cross-source AI copilot the CISO would actually approve, and the cryptographic audit our examiners verify independently.
VP Engineering·Tier-1 financial services
Honest comparison

6 things that change when Data + AI live on one platform.

TeamSync
Most stacks
AI permission enforcement
platform-native, query-time
Per-deployment policy
Audit chain
Merkle hash chain, externally anchored
Standard append-only log
Right-to-erasure
Cryptographic key destruction
Procedural delete + backup risk
Pricing
Per-cluster, transparent
Per-product per-seat stack
Data + AI integration
One platform, native composition
2 products plus a glue layer
Vendor count for ECM + CLM + eSign + eDiscovery + AI
One contract
6 vendors, 6 integrations
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