Your AI works in demos. It stalls in production.
Your team ships a promising pilot. Risk review sends it back. The problem isn't the model or the team, it's the layer missing between them.
Three modules. One system. Built for work where context, memory, and evidence are not optional.
One unified knowledge fabric
Knowledge Mesh connects your databases, documents, tools, skills, and decision history into one access-controlled graph. Relationships are mapped automatically and easily verified by a human expert. Access is enforced by design, not added later. Ownership of that memory, every trace, decision, and piece of institutional context, stays with your organization, not the model provider. Critical decisions feed back, so your agents get sharper over time.
- Multi-stage planning, discovery and retrieval system which can operate across your enterprise's Knowledge Mesh
- Hybrid retrieval across every knowledge tier, semantic and lexical, resolved to one cited answer
- Every agent in your environment connects out of the box via MCPs and custom APIs
- Refuses and asks for clarification when the evidence is thin. It never invents it's own business facts
Grounded reasoning you can trace
Cortex Engine surfaces the right context, builds a grounded plan, and shows its work. Every step is traceable. Every source is cited. The model cannot see what the user isn't authorized to access. The orchestration layer sits above any single model. If one is swapped out, your workflows and evals keep running, matched to whichever model is most accurate and cost-effective for the task. The result: higher accuracy, fewer hallucinations, and no black box.
- Multi-stage planning, discovery and retrieval system which can operate across your enterprise's Knowledge Mesh
- Hybrid retrieval across every knowledge tier, semantic and lexical, resolved to one cited answer
- Every agent in your environment connects out of the box via MCPs and custom APIs
- Refuses and asks for clarification when the evidence is thin. It never invents it's own business facts
Governance built into the worker
Outcome Ledger gives every agent an identity, defined behavior, business constraints, and access guards before it acts. Compliance lives inside the worker, not in a prompt you hope holds up under audit. Every action it takes feeds back into the Knowledge Mesh, so the more your agents work, the more your organization's intelligence compounds, not the model's.
- Policy-as-code guardrails enforce boundaries at execution, not after the fact
- Row-level filters and field masking enforced inside the access path, not bolted on as an overlay
- Immutable audit record: every decision tied to its intent, policy, and evidence
- PII redaction, prompt-injection protection, and hallucination checks on every request, deterministically
Connects seamlessly across four data source types with over 80 integrations.
Structured Data
PostgreSQL, Snowflake, Redshift, MongoDB, MySQL, Databricks, ClickHouse, and more.
Documents
Confluence, Google Drive, Outlook, SharePoint, and direct upload, with more in progress.
Tools & APIs
80+ managed providers via OAuth, self-hosted MCP servers, and custom API tools.
Skills
Domain workflows versioned, and embedded for execution across your enterprise
Built for work where trust alone isn't enough.
Every action needs institutional context, policy alignment, and a record that stands up to scrutiny.
More time in front of clients, less in the back office
Bankers spend more of the week on prep, paperwork, and system-hopping than on the client relationships that actually grow the book. NeoSapients hands the manual work to agents that know the client, the portfolio, and the policy so meeting prep, follow-ups, and account admin are done before the banker sits down. The result is more client time, faster response, and a record that holds up when compliance asks.
- Meeting briefs, portfolio summaries, and next-best-action prep assembled automatically ahead of every client conversation
- Post-meeting follow-ups, service requests, and account changes drafted and routed — the banker approves instead of assembles
- Every recommendation and interaction captured with policy alignment built in, so reviews take minutes, not days
Patient engagement workflows
Agents that work within policy, escalate to a human when judgment is required, and leave a clear record of every step. Continuity, documentation quality, and traceable coordination, built in from the start.
- Patient context persists across sessions, systems, and care team handoffs
- Documentation follows policy at every coordination step, automatically
- Escalation to clinical review with full context attached
- Every Digital Worker touching patient data is fully HIPAA compliant
Enterprise-grade AI, delivered.
Without NeoSapients
- AI agents with no institutional memory
- Compliance assembled after the fact
- AI decisions no one can explain to a regulator
With NeoSapients
- Agents grounded in enterprise knowledge
- Compliance evidence produced automatically
- Every decision explained and regulator-ready
