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Intelligent-repositoryDocuTalkeSignaturesAudit TrailContract Lifecycle ManagementSecurity & DeploymenteDiscoverySemantic SearchAI SummarisationMetadata Extraction + OCR/ICRRBAC + Backup + RestoreAgentic AI WorkflowView all capabilities →
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Intelligent-repositoryThe platformDocuTalkAI on your corpus eSignaturesSES, AdES, QESAudit TrailWorkflow & auditContract Lifecycle ManagementNative, not bolted-onSecurity & DeploymentDeploy your wayeDiscoveryHold at the sourceSemantic SearchHybrid retrievalAI SummarisationCitation-groundedMetadata Extraction + OCR/ICRCapture, typedRBAC + Backup + RestoreThe control surfaceAgentic AI WorkflowAI that acts
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Finance & BankingPCI, SOX & AML-ready document workflows for banksHealthcareHIPAA-first records, clinical workflows, audit trailsEnergy & UtilitiesPermits, safety & environmental compliance at scaleManufacturingCompliance-ready document workflowsPublic SectorFOIA, FedRAMP & records management for agenciesAECRFI, submittal & closeout document control at scale
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TeamSync

The regulated content + AI platform for financial services, healthcare and life sciences, public sector, legal, energy, and AEC.

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  • DocuTalk AI
  • Electronic Signatures
  • Intelligent Repository
  • Audit Trail
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  • Healthcare
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  • DPDP
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  • eIDAS QES
  • FDA 21 CFR Pt. 11
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  • It is the set of controls that determine who may see, change or remove information, and the evidence that those controls held. In practice it only works when the identity model, the audit trail and the storage layer are the same system rather than three that have to be reconciled.

  • Yes. Full-scale LLMs and agentic AI deploy directly inside your network, including air-gapped environments, so DocuTalk, semantic search and workflow automation run with no cloud dependency and no third-party access.

  • On-premise runs on your own servers. Private cloud runs on infrastructure dedicated to you. Air-gapped has no external network connectivity at all, so updates arrive as signed offline bundles verified against published checksums.

  • No - that is the usual trade-off and it is the one this deployment model removes. Models run inside the same boundary as the rest of the platform, so inference happens locally with no external calls.

  • You do. Bring your own KMS or HSM; data is encrypted at rest and in transit with keys you control and can rotate, and in a self-hosted deployment nothing leaves your network - not documents, not embeddings, not AI requests.

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