One accountable team. The whole stack.
From the data center floor to the agentic workflow, we deliver the systems, security, and operating controls that make every layer of private AI work in production.
AI Strategy & Advisory
Most clients don't need a model. They need to know which workflow to automate first, what data to keep private, and what governance to put around it.
Our AI Readiness Review is a fixed-scope engagement that produces a prioritized roadmap, a target-state architecture, and an honest cost model — including the parts most vendors hide.
See the complete review scope- AI Readiness Review (2–4 weeks, fixed fee)
- Workflow inventory and use-case scoring matrix
- Target-state architecture and bill of materials
- Governance, risk, and compliance baseline
- Build / buy / partner recommendation per use case
- Honest 12-month cost and ROI model
- Use-case discovery and process mapping
- Agent design with tool, memory, and orchestration patterns
- MCP (Model Context Protocol) integrations to your systems
- Human-in-the-loop and approval workflows
- Audit logging, evaluation harnesses, and rollback
- Phased autonomy — start supervised, expand carefully
Agentic AI Solutions
Generative AI answers questions. Agentic AI takes action.
We design and deploy systems that orchestrate multi-step workflows — permitting, content production, contract triage, incident response — using tools, APIs, and human-in-the-loop checkpoints. Every action is logged, every decision auditable, every agent operates inside boundaries you set.
Private & On-Prem LLM
Models that live behind your firewall — on your hardware, in your VPC, or air-gapped.
For clients with confidentiality, sovereignty, or regulatory obligations, public APIs are a non-starter. We deploy open-weight models (Llama, Mistral, Qwen, and others) on dedicated infrastructure, with retrieval-augmented generation against your own knowledge base. Your data never leaves your environment.
- Model selection sized to your workload (7B–70B+)
- Deployment on bare metal, private cloud, or air-gapped
- vLLM, Ollama, or commercial-grade inference stacks
- RAG pipelines against your documents and databases
- Fine-tuning on your domain when it earns its keep
- End-to-end encryption, SSO, RBAC, full audit logs
- GPU compute design (NVIDIA H100/H200, AMD MI300, Blackwell)
- High-speed networking and fiber channel switching
- SAN, NAS, and object storage sized for AI workloads
- RHEL, Ubuntu, macOS, Windows — managed at scale
- Colocation strategy, migration, and cutover planning
- Runbooks, BoMs, and diagrams your team can audit
Data Center & Infrastructure
The compute, network, storage, and operating systems that everything else sits on.
AI workloads punish weak infrastructure. We design and build the foundation — GPU compute, high-throughput networking, fiber channel, SAN/NAS storage, RHEL/Ubuntu/Windows — so your models, agents, and applications run reliably under real load. Greenfield, retrofit, or colo migration; we've done all three.
Cybersecurity
Red, blue, and OSINT teams — tied to the way attackers actually move through real environments.
AI deployments are a new attack surface. Prompt injection, model exfiltration, agent abuse, and data leakage are real and exploitable. We pressure-test your AI systems with the same techniques attackers use, harden the architecture, and stand up the detection and response capability to catch what slips through.
- AI red-teaming — prompt injection, jailbreaks, agent abuse
- Architecture and segmentation reviews
- Identity, access, and zero-trust design
- OSINT and external attack-surface management
- SOC enablement, threat hunting, and incident response
- Compliance mapping — CJIS, HIPAA, SOC 2, GDPR, FedRAMP
- 24/7 monitoring of inference, agents, and pipelines
- Continuous evaluation and quality regression testing
- Model and platform upgrades, with rollback discipline
- Prompt, retrieval, and tool-use tuning
- Cost optimization — right-sized GPUs, batching, caching
- Quarterly executive reporting against SLAs and KPIs
Managed AI Services
We run your AI in production so your team doesn't have to babysit it.
Building the system is the easy part. Keeping it accurate, secure, and economical at 3am six months in is the hard part. We operate AI infrastructure, agents, and private LLMs on your behalf — with monitoring, evaluation, model upgrades, prompt and retrieval tuning, and 24/7 response when something goes sideways.
Begin with an AI Readiness Review.
Two to four weeks, fixed scope, fixed price. You walk out with a roadmap you can actually use — whether you build with us or not.