SDVOSB CertifiedCleared Personnel$35M+ Client Impact

Your first production AI system.
Running in 90 days.

We don't sell strategy decks or run pilots that go nowhere. We build AI systems that run in production, handle real data, and change how your team works. In 90 days or less.

30 minutes. No pitch deck. We'll tell you if we can help.

The Problem

You've tried AI before. It didn't work.

You're not alone. 60-80% of AI projects fail. But the technology wasn't the problem. The approach was.

01

The vendor showed a great demo. Your team never used it.

Because nobody asked the people who'd actually use it. The system didn't fit their workflow. It sat on a shelf. You're still doing things manually.

02

The consultant delivered a strategy deck. Nothing shipped.

Fourteen months of "AI readiness assessments" and steering committees. Zero systems in production. Meanwhile your competitors are automating what takes your team weeks.

03

The pilot worked on clean data. Then it hit reality.

Your data is messy. Your users are unpredictable. The proof of concept that crushed it in a demo fell apart the moment it touched production. Nobody planned for that.

The Offer

90 days. One problem. A system that runs.

We pick your highest-pain workflow, build an AI system around it, and deploy it to production. Not a demo. Not a pilot. A system your team uses every day.

The 90-Day Production Build

One focused engagement. One shipped system.

Running in production in 90 days, or you don't pay.

Production AI system

Built on your data, for your workflows, deployed in your environment. Document intelligence, classification, analytics, agents, or automation.

Data pipeline audit (included)

We assess your data infrastructure in week one. Most performance problems live here, not in the model. We fix this first.

Monitoring and alerting from day one

Model drift detection, automated alerts, performance dashboards. We build the monitoring before we need it, not after something breaks.

30-day post-launch support

We stay on for 30 days after deployment. Retraining, edge case handling, and user feedback loops. We don't walk away when the invoice clears.

Knowledge transfer

Your team learns to maintain and extend the system. Documentation, walkthroughs, and hands-on sessions. We build it so you own it.

How It Works

From problem to production in four phases.

Every engagement follows the same proven structure. No ambiguity. No scope creep. Clear milestones every two weeks.

1

Week 1–2

Scope + Pipeline

We identify the one problem worth solving, define success in one sentence, audit your data, and build the pipeline. Your end users are in the room from day one.

2

Week 3–6

Build + Iterate

We build the system on your real data. Bi-weekly demos with your team. Feedback loops at every step. No surprises at the end.

3

Week 7–10

Harden + Deploy

Edge case testing. Monitoring setup. Failure mode documentation. We plan for what goes wrong before it goes wrong. Then we deploy to production.

4

Week 11–14

Support + Transfer

30 days of post-launch support. Retraining cycles. Performance tuning. Knowledge transfer to your team. When we leave, you own it completely.

Proof

Before us vs. after us.

Every number below is from a production system running today. Not a pilot. Not a demo.

Healthcare / Pharma

Product Clustering for a Fortune 15 Pharma Distributor

Hundreds of thousands of products needed to be grouped by true substitutability for pricing decisions. Legacy system used simple category codes. Wrong groupings meant wrong prices across the entire distribution network.

We built an LLM-based clustering system that evaluates products across dozens of clinical and commercial attributes to determine real-world interchangeability.

BeforeCategory-code grouping. Missed substitutions. Pricing decisions based on incomplete data.
AfterAI-driven clustering across dozens of attributes. Pricing decisions now informed by true product equivalence.
100K+
Products clustered
$8M
Engagement scope
#1
Largest pharma networks in the US
Defense / Army

Enterprise Analytics for 50,000+ Users

Hundreds of projects. Data in disconnected systems and spreadsheets. No portfolio-level visibility. Leadership made decisions on stale information.

BeforeManual Excel reports. Weeks behind. No single source of truth.
AfterReal-time dashboards. Automated data integration. Full portfolio visibility.
80%
Less reporting time
50K+
Users served
From weeks of manual reporting to real-time visibility across the full program.
Federal / Cross-Agency

Document Intelligence System

Analysts spent hours manually searching and cross-referencing large document sets to answer critical questions. Inconsistent results. Didn't scale.

BeforeHours of manual search per query. Results varied by analyst.
AfterNatural-language search. Sourced answers in seconds. Consistent and traceable.
70%
Faster review
800K+
Documents indexed
Analysts went from digging through folders to asking questions and getting sourced answers instantly.
Enterprise / Operations

Predictive Anomaly Detection

A large-scale operation needed to catch failures before they happened. Existing monitoring was reactive. Problems were found after they caused impact.

BeforeReactive alerts. Problems caught after damage was done.
AfterML models flag anomalies before failure. Automated escalation paths.
60%
Fewer incidents
Hours
Early warning time
Shifted from "what just broke" to "what's about to break." Operational incidents dropped by more than half.
Healthcare / Enterprise

AI-Powered Provider Matching Engine

A Fortune 10 healthcare company needed to match providers to prospects across millions of records. The legacy rules-based system missed edge cases and couldn't handle real-world complexity.

BeforeRules-based matching. Missed edge cases. Manual review bottleneck on exceptions.
AfterML-driven segmentation and classification pipeline. Automated validation. Production-ready.
99%+
Match accuracy
M+
Records processed
Replaced a brittle rules engine with an ML pipeline that handles edge cases automatically and scales.
Manufacturing / IoT

Embedded AI for Industrial Measurement

A major manufacturer needed real-time precision measurement on the production line. Manual readings were slow and inconsistent. Zero cloud dependency required.

BeforeManual sensor readings. Inconsistent measurements. Production line delays.
AfterComputer vision model on embedded hardware. Real-time, automated, no cloud needed.
99%
Measurement accuracy
0
Cloud dependencies
Production line measurements went from manual and inconsistent to automated and near-perfect. Runs entirely on-device.
Enterprise / Automation

AI Agent System for Operations Automation

An enterprise program needed to automate complex multi-step workflows that required human judgment. Traditional RPA couldn't handle the decision-making.

BeforeManual workflows. Human bottleneck on every decision point. Couldn't scale.
AfterAI agents handle routine decisions autonomously. Humans review exceptions only.
10x
Throughput increase
85%
Less manual review
Turned a team drowning in manual workflow into one managing by exception. Same headcount, 10x the output.
Mid-Market / SaaS

Data Pipeline Rebuild for ML Readiness

A growing company wanted to use ML for demand forecasting, but their data was scattered across 5 systems with no integration. Every report was a manual export.

Before5 disconnected data sources. Manual CSV exports. No ML-ready data.
AfterUnified pipeline. Clean, labeled data. ML models running on live data.
5→1
Data sources unified
90%
Less manual prep
Went from "we can't even start ML" to running demand forecasts on live, integrated data in under 60 days.

We take on 3 engagements per quarter.

Every client gets senior-level attention and hands-on building. That means limited capacity. If this quarter's spots are filled, we'll let you know and get you on the next one.

About

Founded by a builder. Not a consultant.

OptiSyn Solutions was founded by Jacob Hicks, a Marine Corps veteran and AI engineer who spent years building production systems inside DoD programs, for Fortune 500 companies, and for federal agencies.

The company was built on a simple principle: the AI industry has too many people selling and not enough people shipping. We exist to close that gap. Every engagement ships. Every system runs in production. That's the standard.

We hold active TS/SCI clearances and work across classified and unclassified environments. Our team has delivered production AI systems for the U.S. Army, federal agencies, and Fortune 500 companies. We understand FedRAMP, ATO timelines, and the compliance requirements that come with government work.

OptiSyn is a Service-Disabled Veteran-Owned Small Business (SDVOSB) based in McLean, Virginia. We partner as primes and subs on contracts across DoD, civilian agencies, and the IC.

SDVOSB CertifiedTS/SCI ClearanceDoD / Federal ExperienceMS Analytics, Texas A&MMarine Corps Veteran8+ Years Production AI

Get Started

Ready to ship your first production AI system?

30-minute call. No pitch deck. We'll tell you exactly how we'd approach your problem and whether we're the right fit.

Running in production in 90 days, or you don't pay.

Not ready to book?

Tell us about your project. We'll get back to you within 1 business day.