OpsCom / EvoTrain
The threat never runs the same problem twice. Why does your training?
AI-generated scenarios for every officer, at every level. Fought for real. Measured through everything. Evaluated with a path to improve.
MemberThe problem
American training certifies memory and calls it readiness.
Scenarios repeat until officers train memory instead of decisions.
The scenario library is finite. Instructors know it. Officers know it. By the third exposure, the room is teaching pattern recall, not judgment.
The record at the end is a sign-in sheet.
Hours are counted. Decisions are not. When an incident is later questioned, there is no per-officer performance record to defend the training, and no evidence trail to defend the officer.
The loop
One loop. Every officer. Every evolution.
Generate a new problem, run it live, capture what happens, score it against evidence, and let the next problem attack the gap.
Generate
A new problem, built for that officer, at their level, informed by the gap their prior record showed. Grounded in real threat behavior and your own venue. Never reused.
Fight
Your instructors run it live, in your facility, or inside the VR and simulators you already own. Every packet is instructor reviewed and signed off before it runs.
Capture
Body-worn and facility video, radio and comms audio, timing, movement, simulator telemetry. Sensor agnostic. Nothing to install.
Score
Multimodal scoring against a sealed ground-truth key across decision latency, procedure adherence, communication, person accounting, and force decision. Plus discrepancy detection.
Adapt
The officer gets an evaluation with specific recommendations. Command gets a Readiness Score over time. The next problem attacks the gap.
Loading demos.
Academies
For academies and POST commissions.
Mapped to your curriculum.
Every generated problem and every score ties to an objective your academy already teaches and already reports on.
Cohort before individual.
Class-level performance by objective shows which block of instruction to rebuild, not just which recruit to counsel.
The record follows the recruit.
Objective-level history carries into field training and into the officer's first in-service year, on the same scale.
We prepare the course-approval documentation your state requires.
Capability
What the AI actually does.
The loop is the process. This is the technical capability behind it.
Doctrine-grounded generation
Problems are built from how real threats actually behave, not by randomizing variables in a template. The adversary has intent, and it holds up to a veteran's scrutiny.
Venue aware
Ingests your floor plans, your range, your building. The problem happens where your officers actually work, not in a generic room.
Per-officer targeting
Reads that officer's own measured record and generates against the specific weakness it found. Every officer in the same class can face a different problem.
Multimodal scoring
Aligns video, radio traffic, timing, and movement against a controlled ground-truth key, so the evaluation is built from evidence rather than opinion.
Discrepancy detection
Finds the divergence between what was planned, what was reported, and what actually happened. That gap is where training value and legal exposure both live.
Every output is human approved and explainable. No autonomous action. No weapons integration. Decision support, never decision replacement.
Every officer
Every officer. Every level.
Generated for the individual: their level, their assignment, the weaknesses their own record shows. No library. No reuse. No script to leak between cohorts.
Basic
Academy scenario blocks mapped to your curriculum: the recruit's first measured decisions.
Intermediate
Patrol and in-service problems for mandated hours that never repeat.
Advanced
Complex, multi-element problems for veterans and supervisors.
Refresher
Short perishable-skills blocks: firearms decisions, tactics, vehicles.
Specialized
SWAT, hostage response, protection details, corrections, airport and rail: full opposing-force evolutions.
Not five products. One adversary that grows with the officer, from first day to tactical team.
Integration
Connects to what you already own.
VR and simulators
Your systems become our delivery surface, and their telemetry feeds the Score. The menu becomes a generator.
Ranges and facilities
Shoot houses, ranges, and scenario villages: where generated problems deploy live.
Cameras and radios
Body-worn and facility video, radio and comms: already capturing, now scored.
Records and compliance
Evaluations and Scores export to training records, accreditation files, and the systems you report through.
Handled to CJIS-aligned standards. Keep the simulator. Keep the range. We are the adversary and the judgment they never had.
Position
Why nobody else can say this.
| Category | Fills | Lacks |
|---|---|---|
| Judgment simulators | Immersion and safe reps | Canned scenarios, session-only scoring, no live adversary |
| VR platforms | Cost-accessible immersion | Limited measurement, no per-officer generation |
| Online training and LMS | Hours compliance at scale | No performance data of any kind |
| Live schools and role players | Real pressure, credible cadre | Hand-written scenarios, after-action by memory |
Nobody generates per-officer scenarios, runs them for real, measures through everything, and closes the loop with an evaluation.
Procurement
How agencies buy this.
Lane 01
Micro-purchase
One measured pilot day or course block. No competitive quotes required: a purchase order or card, documented for price reasonableness. The federal micro-purchase threshold is $15,000 as of October 2025, and grant recipients may self-certify up to $50,000.
Lane 02
Simplified acquisition
A term program across a training year. Price quotations from an adequate number of qualified sources. No sealed bidding below the $350,000 Simplified Acquisition Threshold.
Lane 03
Grant funded
COPS, Byrne JAG, and state training and violent-crime programs. We supply scope, pricing, and budget-narrative language for the application, and invoicing documentation for reimbursement.
We will not split a purchase to dodge a threshold. Where a pilot leads to a program, we scope the follow-on properly from the start.
Justification
The questions you will be asked after this meeting.
You do not decide alone. Here is what each body asks, and what this lets you answer.
| Who asks | What they ask | What you can say |
|---|---|---|
| Council or commission | Why fund another vendor? | You are already paying for the alternative. Chicago taxpayers spent $259M resolving police misconduct suits in 2025, roughly triple 2024, against an $82M annual set-aside. New York paid $117M in 2025 and over $796M since 2019. |
| Oversight board | How do we know training changed anything? | Per-officer performance measured over time against a defined proficiency threshold, auditable, and reported as a trend rather than an assurance. |
| The DA or a court | Will this hold up? | Every score is anchored to timestamped evidence and can be reopened against the original recording. Findings are explainable line by line. |
| Finance or budget | What does it displace? | No capital purchase and no installation. It targets the paid time and backfill line the agency already carries for every training day. |
| The union | Is this surveillance of officers? | A development record, owned by the agency, produced for training. It is also the strongest defense an officer has ever had when a decision is questioned later. |
| State and federal | Does this fit policy direction? | Executive Order 14288 of April 2025 directs federal agencies to expand access to and improve the quality of training for state and local law enforcement. |
Sources: Chicago annual police litigation report, 2026 / Legal Aid Society analysis of New York City data, 2026 / Executive Order 14288, 90 Fed. Reg. 18765
Where this came from
Where this came from.
The method behind EvoTrain came out of United Nations protective operations. Planning time was reduced more than 70 percent, training frequency rose two to four times, across more than 60 operatives working in three high-risk countries.
OpsCom is founded by a former US police officer. Scott Hudson, COO, served with DHS and served in Iraq with the CEO. The CEO's background is Presidential Security Service and United Nations personal security detail operations. The CEO is an operator who ran personal security details.
The offer
Send us one scenario you ran this year.
We return three generated variations, free. No meeting required.
- Same objectives, same environment, three problems your officers have never seen.
- Delivered as a packet your instructors can run as written.
- You keep everything, including the ground-truth key.
The threat adapts. Now your training does.