Custom models end-to-end
From raw data to production deployment — pipelines, training, inference, monitoring. Built for your problem, not warmed-over off-the-shelf.


Multi-agent systems with persistent memory and security gating — built, hardened, and run on infrastructure we own.
Three capabilities most 'AI consultancies' can't ship together. We do, because we built every layer.
Agents that don't just answer โ they watch for the pattern that means now's the right time to follow up, the step that's slipping, the thread worth picking back up.
Built into the Polymorph engine and deployed against Discord, SMS, web, and email. The same agent listens on every channel and proactively follows up when context says it should.
Real capability: multi-provider routing across Claude, GPT, Gemini, and Ollama; per-channel personalities; outbound triggers from the EventEngine.
The system writes typed memory on what's worth keeping โ about the user, corrections they've made, ongoing projects, and external references โ and recalls it before answering.
Old facts age. New corrections update. The same person on Discord is the same person on SMS and on the web, because identity binds across channels.
Real capability: typed persistent memory, cross-channel identity binding, conversation summarization, decay-aware recall.
Role-aware. Channel-aware. Permission-aware. Policy-aware. Every request passes five gates before an agent acts, and every decision is audited.
The same RBAC system that protects the admin app protects every AI tool call. An agent that spawns sub-agents re-runs them through the same gates โ there's no privileged path that skips the checks.
Real capability: role-aware system prompts, channel-specific personalities, per-tool permission gates, full audit trail.
From raw data to production deployment — pipelines, training, inference, monitoring. Built for your problem, not warmed-over off-the-shelf.
Document indexing, hybrid retrieval, ranking, and citation. Models that ground their answers in your data, not training cutoff.
Adapt frontier models to your domain with supervised fine-tuning or LoRA. Continuous evaluation against your own golden sets.
Adversarial prompts, jailbreak suites, policy probes, and continuous safety evaluation built into CI.
Quantized models for constrained hardware. ONNX, GGUF, TensorRT. Run your stack where the data lives.
Binary analysis, protocol reconstruction, firmware reversing for security audits and integration projects.
Modular Blazor + .NET, hot-deployable, RBAC end-to-end — with the AI gateway and workflow engine you just saw already built in.
now showing → Module Explorer · 60 modules, dependency graph
Two ASNs, two metro PoPs, symmetric 10 G transit at 3 ms RTT. Colocation, managed hosting, and IP space — backed by the same network that runs our platform.
Rack space in our facilities — full power, cooling, cross-connects, remote-hands. Multi-PoP options.
Container and VM hosting on infrastructure we operate. Patched, monitored, backed up.
IPv4 and IPv6 assignments, full BGP transit via both ASNs. Bring your own ASN or use ours.
Dedicated fiber tier between Boulder and Denver. Symmetric upload/download, deterministic latency.
The same engineering discipline, applied to space-domain systems — from command & control software to the cryptography and compliance frameworks underneath.
Real-time mission operations: telemetry pipelines, command sequencing, satellite health, anomaly detection, and ops tooling — built for high-availability ground systems.
Custom comms protocols for constrained links — coding & forward error correction, encrypted command channels, low-latency telemetry pipelines.
Key management, encrypted command/telemetry, authenticated waveforms.
Independent review of mission, ground, and constellation architectures. Trade studies.
Fault trees, redundancy analysis, contingency planning, anomaly recovery procedures.
RF link budgeting, modulation choice, waveform synthesis, channel coding strategy.
Frameworks, controls, and audit readiness for regulated space-domain programs.
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