SDVOSB · ACTIVE TS/SCI · McLEAN, VA
OptiSyn modernizes high-consequence operations with governed AI agents, decision intelligence, and AI-ready data platforms—built to plan, act, learn, and remain accountable.
Show the work. It's better than the pitch.
Agentic modernization and AI-enabled operations across the U.S. Department of State, U.S. Army, and aerospace manufacturing.
Proven in production01 / Ongoing initiatives
Current initiatives span federal mission workflows, agentic decision systems, AI-ready data platforms, and intelligent industrial operations. The common thread: operational value, not another disconnected pilot.
AI-enabled budget and knowledge workflows that retrieve governed evidence, generate source-grounded analysis, and move teams from manual search to permission-aware operational action.
Ontology-connected agents, operational applications, automated data pipelines, and decision workflows built with permission boundaries, approval gates, and production observability.
Firmware-to-cloud telemetry, edge-connected equipment, simulation, predictive insights, and a live operator experience that turns production-line signals into governed action.
Federated ingest, governed semantics, entity resolution, reusable data products, and audit-ready lineage—creating the trusted context agents and leaders need to make decisions.
The category
Agentic Operations means agents carry real operational work—inside permission boundaries, through approval gates, with an audit trace a human can defend.
Platform-agnostic by design. Palantir, Google Cloud, Microsoft, and custom systems are tools—not the identity.
02 / Capabilities
Modernize the workflow, connect the context, govern the action, and measure the outcome.
Redesign manual, fragmented workflows around governed agents that can plan, coordinate, act, escalate, and improve under human control.
Source-grounded agents that research, synthesize, draft, route, and trigger next steps across enterprise knowledge and operational data.
Federated ingestion, semantic layers, ontologies, entity resolution, lineage, and reusable data products that give AI trusted context.
Foundry, Vantage, Ontology, Pipeline Builder, Workshop, Automate, and AIP delivery inside high-consequence operational workflows.
Connected equipment, digital twins, device telemetry, predictive operations, computer vision, and ML at the point of work.
Evaluation, red teaming, approval controls, auditability, drift monitoring, cost engineering, and kill switches for production AI.
Modernize high-consequence workflows with secure, governed agents and decision intelligence.
Add active-cleared, SDVOSB capacity across agentic AI, Palantir, data platforms, and industrial systems.
Connect people, operational data, and AI agents to improve speed, resilience, quality, and scale.
03 / Complete modernization capability
OptiSyn brings the capabilities buyers expect from a modern technology partner—then connects them around an accountable operational outcome.
Predictive models, operational analytics, governed copilots, and multi-agent systems that improve real decisions—not just generate text.
Enterprise pipelines, lakehouse and warehouse modernization, semantic models, entity resolution, visualization, and reusable data products.
Secure cloud architecture, API-first applications, legacy workflow replacement, platform integration, and full-stack product delivery.
Automated delivery, model evaluation, prompt registries, drift monitoring, observability, version control, and production reliability.
Palantir, Databricks, Azure, AWS, GCP, Snowflake, Power BI, APIs, identity systems, and mission platforms connected around the work.
AI centers of excellence, governance, workforce enablement, product management, and human-centered rollout that moves capability into daily use.
04 / Why OptiSyn
Many firms can staff a program, migrate a workload, or prototype an AI assistant. OptiSyn differentiates where the work gets hard: joining mission context, production engineering, governance, and adoption into one working system.
Senior engineering leadership stays close to the architecture, code, controls, and mission outcome.
Experience behind an $80M commercial AI product, a $35M operating initiative, and systems running across federal, defense, healthcare, and aerospace environments.
One team spans agents, data platforms, cloud applications, Palantir AIP, analytics, firmware, sensors, and the operational layer between them.
Deterministic controls, evaluation harnesses, human authorization, audit traces, and rollback are designed in before deployment.
We select and integrate the right stack—Palantir, Databricks, Microsoft, Google, AWS, Snowflake, or custom—without forcing the mission into one vendor.
Active-cleared, SDVOSB capacity that can lead a focused delivery or strengthen a larger capture and execution team.
05 / Production method
Six acceptance gates make “done” testable before an AI system touches mission work.
The mission owner defines what must work before engineering starts.
A fixed, representative test set becomes the shared source of truth.
Known tolerances make quality measurable instead of subjective.
Every action records time, actor, input, decision, evidence, result, and version.
The system is tested against misuse, ambiguity, denied access, and edge cases.
Production can be traced, rolled back, or stopped without asking the model.
06 / How to engage
Start with the workflow that matters, connect the data and decisions behind it, and deploy the right combination of agents, applications, and human controls. Pick the model that fits—each one routes to a direct conversation.
Reengineer a manual or fragmented operation around governed agents, human decisions, and measurable outcomes.
Best for modernization leaders →02Production deliveryArchitecture through production for agentic workflows, AI-ready data platforms, decision systems, or industrial operations.
Best for mission owners →03Prime teamingAdd active-cleared Palantir, agentic AI, data-platform, and industrial-AI depth for capture and execution.
Best for integrators →07 / Ongoing innovation
Internal initiatives turn emerging agentic patterns into tested architectures, reusable controls, and practical delivery accelerators.
Irreversible action never delegated to a model.
Initiative 01 / Autonomous decision systems
A multi-agent operating model for research, planning, risk, execution, and continuous learning—with hard circuit breakers around every irreversible action.
Multi-agent orchestration · evaluation · policy gates · audit traceInitiative 02 / Enterprise Agentic OS
Enterprise knowledge, priorities, workflows, and performance signals organized into shared operating memory that helps agents recommend, coordinate, and act.
08 / The operator
FDR / 01OptiSyn was founded by a Marine Corps veteran to close the distance between what technology can do and what a mission can actually operate. The firm's leadership has delivered production AI across federal, defense, Fortune 10 healthcare, and aerospace environments—from agentic federal workflows and Palantir AIP applications to enterprise data platforms and hardware-in-the-loop industrial systems.
“Theoretical to operational. That's the work.”
09 / Next operation
If the mission needs more than another AI briefing, send the brief. You'll hear back from the founder within one business day.