The Technical Foundation
Your AI Strategy Needs.
DataGrout replaces fragmented, team-specific AI scripts with a model-agnostic infrastructure layer — giving your engineering organization shared tools, governed production access, and the observability to scale AI safely across every team.
The Technical Debt Your AI Strategy Is Accumulating
Most AI initiatives stall not because of model quality — but because the infrastructure layer underneath is fragmented, ungoverned, and impossible to scale across teams.
Shadow AI scripts are proliferating across teams
Individual developers are building LLM integrations with direct API keys, no governance, no audit trails, and no shared standards. The organization is accumulating technical debt faster than you can track it.
Security won't sign off on agents touching production
There's no governing infrastructure between agents and your production systems. Security is right to be concerned — and the absence of a safe path is the bottleneck on your entire AI roadmap.
Model vendor lock-in is a real risk
Teams are building directly on specific LLM APIs. When better models emerge — or pricing changes — the switching cost is enormous. The infrastructure layer should be model-agnostic.
No enterprise-wide view of AI spend or activity
LLM costs and agent behaviors are distributed across teams and tools with no unified visibility. You can't answer 'what are we spending on AI?' or 'what are our agents doing?' at the org level.
What DataGrout Gives Your Engineering Organization
A Unified Integration Fabric for All of Engineering
Replace fragmented, team-specific integrations with a single governed tool layer that every agent in the organization shares — reducing duplicate work, standardizing security, and compounding institutional knowledge. The Multiplexer aggregates all your existing MCP servers into one coherent endpoint, deduplicating tools by semantic type.
- Multiplexer crushes MCP sprawl — plug all servers into one endpoint, agents route automatically
- OAuth, mTLS, routing, and logging baked in — not rebuilt per team
- Integration knowledge accumulates in a shared catalog, not Slack threads
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Security Governance That Ops Can Approve
DataGrout's multi-layer security model gives you mTLS identity, policy cascade, PII redaction, Warden prompt injection defense, outbound-only private connectors, and complete audit trails — the architecture your security team can present to the board.
- Per-connector scopes, IP allowlists, and instant revocation
- Private Connectors reach SAP, Oracle, and on-prem systems with zero inbound firewall rules — outbound-only VPN
- Warden's 3-tier injection defense (canary + semantic intent + Prolog adjudication) runs on every untrusted input before it reaches any downstream tool
- Every agent action authenticated, authorized, and logged with cryptographic CTCs
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Model-Agnostic Architecture
DataGrout sits between your agents and your integrations — not between your agents and the LLM. Switch models freely. Upgrade without migrating integration logic. The infrastructure is model-neutral by design.
- Tool and integration layer is fully decoupled from LLM choice
- BYOK (Bring Your Own Key) — pay your model provider directly, zero DataGrout LLM markup
- SemIO types and semantic discovery work regardless of the underlying model or provider
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Org-Wide AI Spend Visibility & Control
Credit-based economics give you a unified view of AI spend across every team and agent — with caps, alerts, and loop detection that prevent runaway costs before they hit the invoice.
- Per-agent and per-team credit budgets enforced at call time
- BYOK eliminates LLM markup — Governor's symbolic/neural split cuts inference cost by up to 10x
- Cadence loop detection stops spiral billing; pre-flight estimates before every workflow runs
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Replace Shadow AI with an Observable Runtime
Shadow LLM scripts proliferating across teams have no shared standards, no governance, and no visibility. DataGrout gives you a real, observable agent runtime your teams share — so you can answer 'what are our agents doing?' at the org level.
- Single runtime for all teams — new agents build on shared tools, not isolated scripts
- Full execution logs: who ran what, against which system, at what cost
- Kill switch for any tool, connector, or agent — without touching application code
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Org-Wide Business Rules Enforced at the Infrastructure Layer
logic.constrain lets you define org-wide enforcement rules once — 'no agent may write to production without approval,' 'budget per project capped at $50k' — that propagate automatically to every matching workflow across the organization, independently of what individual agents are prompted to do. This is governance architecture, not prompt hygiene.
- Define a constraint once in Logic; flow.into checks it before executing every matching workflow step — automatically, everywhere
- Rules persist across sessions and survive prompt changes — agents can't forget what was never in a prompt
- Auditable as infrastructure-enforced policy, not instructional text that models can drift from
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Enforce Code Quality at the Infrastructure Layer
Bring AI-powered code review into your engineering workflow — catching security vulnerabilities, architectural drift, and policy violations before they reach production. Invariant's constraint-based analysis runs against every diff, not just what reviewers remember to check.
- Invariant checks code changes against symbolic constraints you define once — applied everywhere, automatically
- Catches injection risks, credential leaks, and architectural violations that LLM-only review misses
- Audit trail for every review decision — satisfies compliance and security team requirements
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Governed Access to Production Systems
Give agents controlled, scoped access to SAP, CRM, billing, and on-prem systems — with explicit approval gates, kill switches, and Private Connectors that reach dark data centers without opening a single firewall port.
- Scoped credentials per connector — leaked keys are just souvenirs
- Human approval gates on write and destructive operations by default
- Private Connectors: outbound-only VPN, air-gapped systems become first-class tool surfaces
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What Your Engineering Organization Needs
Security the Architecture Team Can Stand Behind
- mTLS identity, policy cascade, PII redaction, and CTCs across every call
- Warden's 3-tier prompt injection defense runs on every untrusted input
- Outbound-only private connectors for on-prem — zero inbound firewall rules
- Full audit trail for every agent action — shareable with your CISO
Model-Agnostic by Design
- Infrastructure layer decoupled from LLM provider
- Switch models without migrating integration logic
- Vendor lock-in risk eliminated at the architecture level
Compounding Org-Wide Value
- Integration work accumulates in a shared catalog — not lost when people leave
- New agents reuse existing connectors — no rebuild per project
- BYOK eliminates LLM markup — credits go toward genuine intelligence, not boilerplate
The Architecture Decision That Compounds.
One infrastructure layer for every team, every agent, every integration — model-agnostic, observable, and built to scale with your engineering organization.