Agents · Retrieval · Evaluation

Super Intelligence systems engineered for production, not demos.

We design and build Super Intelligence (SI) systems end to end: agents with governed tool use, permission-aware retrieval, Palantir AIP and Foundry integrations, and the evaluation harness that proves they work before release.

Diagnose this workflow →Book a fit call

Start: Workflow Diagnostic · from $7,500
Build: 4–8 weeks · from $25,000
Run: From $2,500/mo

Sound familiar?

Pilots impress in a demo and fail on real cases.
Agents can take actions nobody approved.
Nobody can say whether a model or prompt change made things worse.

Where it applies

Multi-agent document workflows
Palantir AIP and Foundry agents
Permission-aware retrieval (RAG)
Evaluation harnesses and release gates

How it works

Four steps. One audit trail.

Clean cases flow straight through. Anything that does not match waits for a named reviewer, and every step is written to the log.

Clean cases flow straight throughExceptions wait for a named reviewerEvery step is logged

Design
Decide which steps belong to rules, models and people, and where approval is required.
Build
Agents, tool adapters and retrieval with the narrowest permissions each step needs.
Evaluate
Golden cases, regression suites and release gates built from your own data.
Operate
Monitoring, retesting after every change, and controlled updates.

An invoice becomes a reviewed accounting record.

Compare extracted fields against a purchase order, resolve discrepancies, and prepare a controlled handoff.

Scenario

01Read input
02Check evidence
03Review decision
04Prepare handoff

Input & evidence

Supplier invoice · INV-1042

Northline Supply
PO-2187
Equipment: $4,820.00
Payment terms: Net 30

Purchase order · PO-2187

Approved supplier: Northline Supply
Authorized total: $4,500.00
Payment terms: Net 30

Validation & review

Inspect the source, then run the checks.

Follow a case from input to a reviewed output. Try the exception and the matching scenario.

Ready to run

Every action is written to the decision trail.

Decision trail

Sample loaded. No external systems connected.

Prepared output

Nothing is released until the case passes validation and a reviewer approves it.

Fictional data and scripted outcomes that explain the design. Not a live SI system or a client result. See the document operations offer →

Controls built in

Tools scoped to the minimum each step needs
Consequential actions wait for human approval
Release tied to a fixed evaluation set

What you receive

Working SI system and integrations
Evaluation harness and case log
Architecture and access documentation
Runbook and handoff

Related proof

OptiSyn engagementA DoD enterprise program · Defense · via prime

SI agents running inside the platform the mission already uses.

AIP+ Foundry ontology

1platform, no new silo

Challenge: Program teams needed governed SI access to many data and media sources without adding another disconnected SI tool.
Built: Palantir AIP and Foundry agents backed by the ontology, a prompt registry, ontology ETL, Azure DevOps data pipelines and operational Power BI views.
Result: Agents, data and operational context run inside the existing platform, forming a reusable base for the next workflows.

Palantir AIPFoundryAzure DevOpsPower BI

See the related offer →

Leadership experienceFortune 10 healthcare distributor · Healthcare distribution

Contract agents that cite the clause behind every finding.

2-passextract + audit

Challenge: Payment and surcharge language was buried in complex agreements and hard to find consistently with keyword search.
Built: Extractor and auditor agents that read each agreement in two passes, structured the obligations and kept a clause-level citation for every finding.
Result: Findings the business could check, prioritize and act on, with a citation a reviewer can open.

Multi-agentCitationsTwo-pass verification

See the related offer →