Our team builds agents, cited research assistants and document automation on Palantir Foundry, Databricks and Azure, working as a subcontractor on State and Army AI programs. Primes add us as an SDVOSB delivery partner. Operations teams start with one workflow.
INV-1042Supplier invoiceNorthline Supply
CheckingINV-1044Supplier invoiceKeel Industrial
PassedJOB-0204Job cost entryHarbor clinic
ReviewerAPP-5518Eligibility formAccount 5518
PassedInvoice $4,820 exceeds PO-2187 authorized total $4,500.
Illustrative console · fictional cases
of manual data entry eliminated, plus a live P&L, delivered in 21 days.
A specialty construction firm · OptiSyn engagementfrom an item-matching process redesign.
Item-matching redesign · Leadership experienceaccounts classified hands-free in 37 seconds, with an evidence trail on every decision.
Contract-eligibility engine · Leadership experiencePrimes bring us in for a defined workstream: Palantir AIP and Foundry, retrieval and RAG, evaluation harnesses and data pipelines. Agencies can buy the federal Workflow Diagnostic within the $15,000 micro-purchase threshold. As an SBA-certified SDVOSB, OptiSyn can receive sole-source awards up to $5M for non-manufacturing NAICS.
We sell outcomes, not components. Pick the one that is costing your team the most hours.
For the superintelligence era, we design and build AI 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.
We build forecasting, classification and anomaly-detection models on your operational data, back-test them against a simple baseline, and put the results into the dashboards and decisions your team already uses.
We extract the fields that matter, check them against your purchase orders, contracts or policy, and route anything that does not match to a named reviewer, with the evidence attached.
We connect the systems your numbers live in, match records on stable keys, isolate what does not reconcile and publish the report or live P&L only when it does.
We connect approved documents and records to a research assistant that cites what it used, respects who is allowed to see what, and says so when the evidence is not there.
We read each supplier invoice, match it to the purchase order and receipt, check totals, terms and suppliers against your rules, and route every mismatch to a named AP reviewer with the evidence attached.
We build ontology-backed agents, AIP Logic, OSDK applications and data pipelines inside the Foundry environment you already run, so new capability lands in the platform your teams use instead of another disconnected tool.
Published starting prices, fixed scopes and named deliverables. Every entry offer leads to a build, and every build comes with a monthly plan so it keeps working.
One workflow, up to 50 of your real cases. We measure what it costs you today, find the root causes and hand you a fixed price to fix it.
Half at kickoff, half at readout. Credited 100% toward a Build signed within 30 days.
Start a Diagnostic →One production workflow, tested against your own cases before release. Integrations, evaluation harness, human-approval path, documentation and handoff.
Priced on scope and your measured baseline, not hours.
See Build variants →Managed operations for what we build. We watch quality and cost, retest after every model or prompt change, fix issues in agreed windows and ship improvements every month.
Included in every Build proposal by default.
Compare Run plans →Spreadsheets, job management and accounting in one place, with a live P&L in 30 days or less. Then we keep it current.
SDVOSB AI engineering for capture and delivery. Our team works as a subcontractor on State and Army AI programs. Working prototypes tied to evaluation criteria, and a defined workstream on award.
Answer 4 quick questions and get the package, the price and the reason. If we are not the right fit, it will say so.
Question 1 of 4
The same four rules govern every workflow we ship, whether it answers budget questions for a federal analyst or checks contracts for an operations team.
Every engagement starts from a baseline measured on your own cases, so “better” is a number, not an impression.
Baseline, measured on 50 real cases.
Clean cases flow. Anything consequential or uncertain stops for a named reviewer, with the evidence attached.
$320 over the purchase order. Held for review.
Routed to AP reviewer with the invoice page and the PO attached. Nothing posts until a person decides.
Your Diagnostic case set becomes the acceptance test. The build ships when it passes, not when it demos well.
50 of 50 cases behave as agreed.
Models and data drift. We monitor, retest after every change and improve the workflow every month.
Model updated. Regression suite re-run. Released.
Compare extracted fields against a purchase order, resolve discrepancies, and prepare a controlled handoff.
Northline Supply PO-2187 Equipment: $4,820.00 Payment terms: Net 30
Approved supplier: Northline Supply Authorized total: $4,500.00 Payment terms: Net 30
Follow a case from input to a reviewed output. Try the exception and the matching scenario.
Every action is written to the decision trail.
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 system or a client result. See the document operations offer →
OptiSyn engagements and the founder’s leadership experience, labeled separately. Clients are named only with written approval.
Federal AI program · Subcontract
Read the case →Federal AI program · Subcontract
Read the case →Healthcare distribution
Read the case →The methods behind our work: testing agents before release, retrieval that respects permissions, and where human approval belongs.
Six design rules for agentic pipelines that survive production: rules before models, narrow steps, typed handoffs, a checker, hard stops and a full run log.
Read →How an agentic review system checks images, audio and video ads against brand and partner rules, and sends reviewers only the exceptions with evidence attached.
Read →A working design for AI agent memory: four kinds of memory, rules for what gets written, how to retrieve it, when it expires and how to test that it helps.
Read →Our team on every engagement, from the scoping call to the monthly review.
Our founder leads every engagement. The people who scope your workflow stay with it through build, testing and operations.
Our team, led by our Founder & CEO, a Marine Corps veteran. We built and developed these types of systems for a Fortune 10 healthcare distributor, and our team works as a subcontractor on State and Army AI programs. You talk to the people building your workflow, not an account manager, and the named leads for your engagement are in the proposal before you sign.
So you can tell in a minute whether we fit your budget. Every engagement is fixed-scope and fixed-price after the Diagnostic. The anchors on this site are starting points; your quote is based on the workflow and your measured baseline, not hours.
It is credited in full toward a Fixed-Scope Build signed within 30 days of the readout, and the case set from the Diagnostic becomes the acceptance test for the Build. You pay half at kickoff and half at the readout. If the Diagnostic measures the problem at less per year than the fee, using your own rates, we refund the fee.
Models, prompts, data and rules change. A workflow that is not monitored and retested quietly degrades. Every Build proposal shows Build only and Build + Run; most clients choose the bundle, and you can opt out.
No. We need enough real cases to measure today’s baseline and write an acceptance test. The Diagnostic separates what must be fixed now from what can be handled with controls.
Start with a 20-minute fit call. You leave with a specific package, a price and a date, or a straight answer that we are not the right fit.