Agentic Data Gateway

RecoSearch

An agentic data gateway.

RecoSearch turns internal datasets into safe MCP tools with semantic contracts and permissions, so AI agents can answer hard business questions over your data — inside the AI clients your team already uses.

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The moat isn't wrapping a database with MCP. It's semantic governance: contracts, permissions, and evals that let business users ask hard questions confidently.

Capabilities

Semantic contracts
Encode business meaning and govern joins and metrics across sources.
Multi-source routing
Route natural-language questions across indexes, databases, warehouses, and APIs.
Permission-aware tools
Expose governed MCP servers with role-based access and safety boundaries.
Eval suites for questions
Validate natural-language question packs against real data before production.
Trace logs & observability
See exactly what agents did, trace lineage, and catch unsafe attempts.

Who it's for

Data-heavy teams adopting AI agents — merchandising, catalog, finance, and operations teams who need agents to read business data safely.

The problem it solves

Connecting internal data to AI agents usually means custom integrations, brittle chat UIs, and no guardrails. RecoSearch removes that friction: it exposes governed MCP tools that work inside the AI clients teams already use, so business users get trustworthy answers and operators keep control.

Why it's different

Works inside Codex, ChatGPT, and Claude — not another standalone dashboard
Semantic governance, not just a database wrapped in MCP
Eval suites prove answers before anything reaches production

Case studies

RecoSearch in the real world

Representative scenarios we've built — the kind of work RecoSearch is designed for.

Finance

Finance close acceleration

Challenge
Month- and quarter-end close spans ledgers, budgets, and approval workflows — controllers need fast variance answers without losing the audit trail.
What RecoSearch did
Semantic contracts across ledger, budget plans, approvals, and policy docs route close-period questions through approved metrics and return answers with lineage and policy citations.
Outcome
Controllers get immediate, auditable variance analysis; material exceptions surface for review and unsafe data exports are refused automatically.
Semantic contractsPolicy-aware refusalAudit evidence
SaaS · Customer Success

SaaS renewal-risk intelligence

Challenge
CSMs juggle renewal risk across support tickets, usage trends, and invoice history with no single governed view that respects data sensitivity.
What RecoSearch did
A semantic contract bridges CRM accounts, subscription metrics, usage events, and support cases; policy boundaries redact PII and enforce aggregate-only access.
Outcome
Teams get ranked renewal-risk tables and usage-decline diagnostics grounded across sources, with customer data protected through the cross-source query.
Multi-source routingHealth scoringPII redaction
Finance · RevOps

Revenue variance root-cause

Challenge
Revenue misses are hard to decompose, and dashboards or ad-hoc SQL often contradict each other — eroding trust in the numbers.
What RecoSearch did
A variance-waterfall contract decomposes actual vs. forecast across volume, price, churn, discounting, and mix, with every component traced to canonical sources.
Outcome
Leaders get one reconciliation source of truth with clear driver attribution and embedded evidence, so reviews and approvals move quickly.
Variance decompositionReconciliationConfidence labels
Retail · Ecommerce

Ecommerce margin & returns

Challenge
Finance, merchandising, and marketing each define 'profit' and 'returns' differently, leading to inconsistent SKU-level decisions.
What RecoSearch did
Semantic contracts for the gross-to-net bridge and return-driver ranking route margin questions through unified SKU, order, return, and inventory sources.
Outcome
Teams get unified margin reporting with transparent definitions, return root causes by category, and early inventory-risk warnings.
Margin decompositionPolicy citationInventory signals
SaaS · Customer Ops

Customer health from mixed signals

Challenge
Health scores must combine support load, usage, sentiment, and invoices — signals with different grains and reliability that contradict when merged by hand.
What RecoSearch did
A health-score contract weighs each evidence source with explicit confidence and caveats, and returns reason graphs showing which signals drove the score.
Outcome
Renewal managers get evidence-weighted rankings with transparent reasoning; risky accounts surface with clear action drivers and tracked signal quality.
Evidence-weighted scoringSignal fusionReason graphs

See RecoSearch on your data.

We'll walk through a scoped pilot and a clear rollout plan for your team.

Request a demo →