The Intelligence-Ready MCP Gateway
Slash LLM Costs by Up to 99%
Proven: 99% reduction in empirical benchmarks; 95% in our own platform advisor agent case study.
Your agent uses DataGrout tools to pre-process and distill context — only essential tokens reach the LLM.
Ask how DataGrout supercharges your agents:
Setup Walkthrough
Find your setup path
Choose your persona to see how easy it is to setup DataGrout.
Anyone using or building MCP-compatible agents can connect in minutes.
Enterprise AI Use Cases
Cut LLM Token Costs by Up to 99%
DataGrout's neuro-symbolic runtime handles ~90% of agent conditions symbolically — zero LLM inference required. Semantic caching, context trimming, and intelligent routing slash runaway bills and extend session budgets.
Built for Your Use Case
Select your role to see the most relevant solutions.
Cut LLM token costs by up to 99% with symbolic cognition, semantic caching, and intelligent routing.
Learn more Agent ObservabilityTrace every tool call, decision, and policy enforcement event across autonomous agents.
Learn more Agentic CodingGive coding agents semantic discovery, memory, and verified execution — not just autocomplete.
Learn more AI Agent DevelopmentPurpose-built infrastructure for building agents that connect, plan, and execute across real systems.
Learn more AI Agent HarnessWrap ML models as production-grade agent tools with semantic discovery, cost tracking, and governance built in.
Learn more AI Code ReviewNeuro-symbolic analysis of AI-generated code — detect intent drift, semantic violations, and regressions.
Learn more AI Data AnalyticsDeterministic data ops, structured analytical reasoning, statistical analysis, charting, and persistent insight delivery.
Learn more AI Data GovernanceImmutable audit trails, CTC-signed compliance proofs, and dynamic PII redaction for GDPR, HIPAA, and SOC 2.
Learn more AI Debugging ToolsInspect agent working memory, trace data between pipeline stages, and pinpoint exactly where multi-step workflow logic deviated.
Learn more AI Workflow AutomationOrchestrate multi-step agent workflows with type-safe planning, validation, and cryptographic receipts.
Learn more Context EngineeringGoal-driven context assembly that trims irrelevant data before it ever reaches the LLM.
Learn more Data WranglingTransform, normalize, and join messy data from any source before it enters your agent pipeline.
Learn more Enterprise AI Agent GovernanceCentralized policy enforcement, proactive prompt injection defense, approval gates, and cryptographic audit trails for autonomous agents.
Learn more LLM ObservabilityFull execution logs, cost receipts, and kill switches across every model call in your org.
Learn more MCP Gateway & Control PlaneOne governed endpoint for all your tools, systems, and agents — with policy, auth, and audit built in.
Learn more MCP Integration ToolsSemantic discovery, type bridging, and tool management across every MCP server — with the Conduit SDK, Toolsmith, and Semio types.
Learn more Non-Human IdentityAgent identity, provisioning, and lifecycle management — mTLS, credentials, and access controls for autonomous systems.
Learn more Prompt Injection PreventionThree-tier detection — protocol, semantic intent, and Prolog adjudication — with confidence scoring.
Learn more Responsible AI ToolsOperational AI assurance — prompt injection defense, CTC-verified workflows, and cryptographic proof of safe execution.
Learn more Secure AI Agent DevelopmentAISPM for LLM deployment — input defense, policy-enforced workflows, dynamic PII redaction, mTLS identity, and cryptographic execution proofs.
Learn moreA real-world AI agent integration example across business workflows:
What Leaders Are Saying
Enterprise voices on the AI cost challenge
The twin challenge for companies deploying AI is token economics and governance. Right now, most companies cannot accurately assess the extent to which their LLM resources are driving business value versus being drained by unnecessary or unauthorized side-projects. DataGrout's premise in terms of reducing token waste while enabling visibility into LLM usage, is very timely.
Deepak Dodani
Chief Information Officer, AFS Logistics
Rampant LLM token usage has many CIOs and CFOs worried. AI line items can quickly become one of their fastest-growing operational expenses. Without visibility into LLM usage and token consumption metrics that show which teams and use cases consume the most tokens, forecasting ROI is nearly impossible.
Bharath Prabhakaran
Chief Digital Officer, University of Cincinnati
Enterprise AI Platform Comparison
Why choose DataGrout?
What makes DataGrout better for your enterprise AI orchestration and agentic AI infrastructure needs:
We mux them instead of competing on catalogs.
Zapier and n8n become upstream inventories — we expose a single governed endpoint that includes their tool surfaces, with one consistent auth model and policy stack.
Semantic discovery, not browsing.
Fit-checking via SemIO (IO compatibility + required keys + adapter availability) beats keyword search across thousands of actions. Agents route precisely, not hopefully.
Safety lives at the decision layer.
Gateway vendors focus on API policy. iPaaS vendors focus on connector access. We focus on tool choice + tool execution safety — the part agents actually break.
Continuous cognition without the token bill.
Symbolic reflexes handle ~90% of routine checks at near-zero cost; the LLM fires only on genuine ambiguity. 10–100× cheaper than always-on inference.
Prompt injection defense built in, not bolted on.
Three independent detection tiers — protocol probes, semantic intent, and Prolog adjudication — return confidence-scored verdicts. Single-pass classifiers miss what this catches.
CTC-ready trust story.
Every workflow produces a cryptographically signed receipt — tamper-evident proof of what ran, what it accessed, and that it stayed within policy. Shareable with auditors instantly.
Enterprise AI Platform In Action
Watch how DataGrout simplifies enterprise AI infrastructure:
Agentic AI Platform
The AI Operating Layer
for Ruthlessly Efficient Agentic Intelligence.
Design, connect, orchestrate, and empower your AI agents with an enterprise-grade
foundation for complex workflows — without the complexity and wasted tokens.
Foundry
Design
Stop rewriting queries. Foundry forges reusable, schema-aware tools from natural language—eliminating redundant LLM calls across every agent session. Build once, save tokens forever.
Toolsmith
Forge Reusable Query Tools
Agents rewrite the same queries from scratch every session. Toolsmith generates a validated, schema-aware query tool from a natural language goal—saved as a named skill that any agent can call by name. No SOQL, no API knowledge required.
- Schema-aware generation — Real field names from live integration schemas, no hallucinated columns
- Fork & temper — Create variants of existing skills without starting from scratch
- Versioned skill catalog — Browse and discover tools across your entire team
Take a Peek
The Research Behind the Platform
Governor: Neuro-Symbolic Runtime for Token-Efficient Agent Cognition
Splits continuous agent cognition into zero-token Reflex cycles and LLM-powered Reflection cycles. Eliminates polling through event-driven percepts — the research behind our most impactful cost saving.
Cognitive Trust Certificates: Verifiable Execution Proofs for Autonomous Systems
Formal verification and cryptographic guarantees that agent workflows are safe, compliant, and terminable before any tool fires — and tamper-evident receipts after.
Warden: Multi-Tier Advisory Detection for Prompt Injection
Protocol adherence testing, semantic intent analysis, and deterministic threat evaluation with stateful multi-turn tracking. Goes far beyond single-pass classifiers.
Semio: A Semantic Interface Layer for Tool-Oriented AI Systems
Defines the typed interoperability standard powering DataGrout's Discovery and planning engine — enabling agents to route to the right tool without hallucination or guessing.
Stop Bleeding Tokens on Agents that Don't Know Better.
Your agents shouldn't be expensive to run. Get enterprise-grade orchestration that audits, routes, and optimizes every call—before the bill hits.