AI Agent Development Company in Denver

Clearance requirements are the fault line in Denver agent work, because commercial and ITAR-bounded builds price on entirely different bases. A scoped Denver AI agent proof of concept is a seven to eleven week engagement covering an autonomy-boundary workshop, a single-domain agent on Claude 3.5 Sonnet or GPT-4o, a tool allowlist with two to five tools, shadow-mode observability, and a hosted demo. A custom production agent system (Dutchie-class cannabis compliance router, Lockheed-Space-class telemetry triage, Western-Union-class AML alert agent) adds OWASP-LLM-Top-10 review, NIST AI RMF documentation, and CPA universal opt-out plumbing across an eight-to-fourteen-week engagement. Full agent platforms with ITAR-cleared self-hosted Llama 3 or Mistral on dedicated GPU infra (typical for Lockheed Space, Ball Aerospace, ULA, Sierra Space, and Maxar adjacent work) add AWS GovCloud deployment, US-person engineering controls, and multi-mission rollout. Denver sits roughly mid-market US — below SF and NYC, above Phoenix and Salt Lake City — driven by the Lockheed Space, Ball, and post-relocation Palantir talent pool. We give fixed-fee proposals.

The Colorado Privacy Act (CPA, enforced by the Colorado AG since July 1, 2023) gives Colorado residents access, deletion, correction, portability, and opt-out rights, requires universal opt-out mechanism support (Global Privacy Control / GPC since July 1, 2024), and triggers Data Protection Assessment requirements for high-risk processing including profiling that produces legal or similarly significant effects. AI agents that make or materially influence employment, lending, housing, insurance, education, or healthcare decisions clear that high-risk threshold and need a DPA before deployment. Our discovery phase runs a CPA profiling classification, builds GPC signal honor into agent state management, and produces a DPA aligned with the Colorado AG's published guidance. For consumer-facing agents we wire opt-out into the orchestration layer so a CPA opt-out signal halts profiling within 15 days as required. The Colorado AG has been more enforcement-active than most state AGs on privacy.

Yes. ITAR-controlled aerospace agent work has hard constraints: USML categories (especially Category IV launch vehicles, Category XV spacecraft, and Category XI military electronics) plus EAR 600 series dual-use technology limit where data can flow, who can engineer the system, and which cloud regions are eligible. For Lockheed Martin Space (Littleton), Ball Aerospace (Boulder under BAE Systems Space and Mission Systems), ULA (Centennial), Sierra Space (Louisville), and Maxar (Westminster) adjacent work we route all engineering through US-person staffing on US soil, deploy agents inside AWS GovCloud US-West (Oregon) or US-East (Ohio), use self-hosted Llama 3 70B or Mistral Large on dedicated H100 GPU clusters with no egress to public LLM APIs, and document export-control compliance in writing before kickoff. We will not run ITAR-controlled technical data through Claude / GPT-4o / Gemini hosted endpoints regardless of attractive latency or capability. CMMC Level 2 readiness is included where the prime requires it.

Cannabis-tech agent compliance is a state-by-state regulatory surface problem, not an LLM capability problem. Our agents route METRC compliance for the 10-plus METRC states (Colorado is the original METRC implementation under MED, plus Michigan, Oregon, California, Alaska, Maine, Massachusetts, Maryland, Missouri, Montana, Nevada), BioTrack THC for the BioTrack states (Hawaii, Illinois, Iowa, New Mexico, New York, North Dakota), and state-specific tracking systems for the remaining states. Each state has its own advertising restrictions (Colorado MED prohibits specific imagery and audience targeting), age-verification requirements, transport rules, and seed-to-sale reporting cadence. The agent layer maintains a per-state policy catalog, runs each operation through the relevant state's policy validators before execution, and produces a state-aware audit log. Banking compliance under FinCEN 2014 Cole Memorandum-legacy guidance and the BSA SAR/CTR pathway for cannabis-related funds is wired into payment-adjacent agent workflows. We do not give legal advice — final policy interpretations sit with the client's compliance counsel.

We treat autonomy boundary design as a first-class architecture concern, not an afterthought. Every Denver agent engagement opens with a workshop that classifies each candidate agent action into one of four buckets: (1) fully autonomous — the agent can execute without human approval (typically read-only or low-side-effect operations like retrieving a document, summarizing a conversation, posting a non-binding draft to a workspace channel), (2) human approval required — the agent prepares an action and a single human approver clicks through (typical for any state-changing customer-facing action, financial transaction over a threshold, or content publication), (3) observable-but-blocked — the agent suggests but cannot execute (typical during the first two to four weeks of shadow-mode rollout), (4) out-of-scope — the agent cannot suggest or execute (typically safety-critical, irreversible, or legally significant actions like terminating an employee, denying a benefit claim, or filing a regulatory disclosure). The bucket assignment lives in code (tool definitions and orchestration policy), not in a wiki, and breach attempts are logged and alerted on. This pattern is what gets aerospace and SOX procurement reviews to sign off.

Our default cloud landing zones for Denver agents are AWS Bedrock in us-west-2 (Oregon, ~35ms from Denver, full Bedrock catalog) and us-east-2 (Ohio) failover, Azure West US 2 (Washington state) and South Central US (San Antonio) at ~25-50ms RTT, and GCP us-central1 (Iowa) or us-west1 (Oregon) for Vertex AI workloads. For ITAR-controlled aerospace and defense work we route through AWS GovCloud US-West (Oregon) or US-East (Ohio) with FedRAMP High inheritance and US-person engineering staffing on US soil. For HIPAA-covered agents (Guild Education's benefits administration, healthcare adjacent) we maintain BAAs with AWS, Azure, and Anthropic / OpenAI for their Enterprise plans. For self-hosted Llama 3 / Mistral on dedicated GPU clusters we use AWS p5 (H100) or p5e (H200) instances in us-west-2 or GovCloud as the workload requires. CPA does not impose hard residency on its own but our DPA documents data flows so the Colorado AG gets a clean answer.

A typical Denver agent (cannabis-tech state compliance router for a Dutchie / Leafly-class platform, AML alert triage agent for a Western Union / Charles-Schwab-Denver-class fintech, customer-service deflection agent for a Vrbo / Guild-Education-class consumer business) takes twelve to eighteen weeks from kickoff to production, assuming an autonomy boundary workshop in week 1, a clean tool layer scoping in weeks 2 to 3, and OWASP LLM Top 10 + agent-specific threat model documentation in scope. Week 4 to 8 is agent build, eval harness, and shadow-mode infrastructure. Week 9 to 12 is shadow-mode running on production traffic with no autonomous side effects, eval-driven iteration, and human-in-the-loop checkpoint integration into the client's existing approval surfaces. Week 13 to 18 is staged rollout with gradually expanding autonomy, observability instrumentation, and a production-grade model card. ITAR-scoped aerospace agent work adds four to eight weeks for AWS GovCloud setup, US-person staffing confirmation, and export-control documentation.

Most custom AI agent work qualifies for the federal R&D tax credit under IRC Section 41 (6 to 10 percent effective benefit depending on credit method and entity structure) with Section 174 capitalization (effective 2022, partially restored under the 2024 Tax Relief for American Families and Workers Act for domestic R&D) adding timing nuance. Colorado has the Colorado Enterprise Zone R&D Tax Credit (3 percent of qualified R&D expenditures performed in a designated Enterprise Zone, claimable against state income tax) for businesses operating in zones including parts of Denver, Adams County, Pueblo, and rural Colorado. Eligible AI agent activity generally includes novel orchestration architecture, tool-layer experimentation, autonomy-boundary design, agent-specific threat modeling, and eval-harness development — not routine API integration. We deliver time-tracked logs, technical narratives, experiment histories, and failed-hypothesis documentation aligned with IRS Form 6765. ITAR-controlled defense work has additional documentation requirements when claiming federal credit. Final eligibility sits with your R&D tax consultant or CPA.