Run AI behind your perimeter. Under your control.
Stand up AI infrastructure inside your data center under your existing security controls. Sensitive datasets stay on your hardware.
BTA handles GPU sizing, network architecture, identity integration, and the governance frameworks needed for regulated-industry AI workloads.
Why cloud AI does not always fit.
- Risk 01
Data sovereignty requirements
Banking, defense, healthcare, and legal teams cannot move sensitive data off-premise. Cloud AI APIs are off the table.
- Risk 02
Cost-per-token at scale
Workloads that run at high volume become economically unfavorable on metered cloud pricing once usage stabilizes.
- Risk 03
Audit and governance gaps
Cloud AI obscures where data goes and how models are served. Auditors cannot validate the chain of custody.
The 4-phase AI engagement model that gets you here.
On-premise AI is the destination. BTA's fixed-price 4-phase model is how customers get there. Same team, same platform, same evaluation harness, lab to production.
- 01
Phase 1 · Assessment & Discovery (3 wk)
AI Readiness Scorecard, parameterized TCO, 12-month roadmap, reference architecture shortlist. Standardized 3-week toolkit.
- 02
Phase 2 · Architecture & Tuning (3 wk)
Lab validation in the BTA AI POD (Cisco UCS X + NVIDIA L40S), model selection from 8-model catalog, RAG-tune or inference, agentic workflow pattern, governance controls install.
- 03
Phase 3A · Scoped Proof of Value (4 wk)
Tuned model deployed in your environment. Same evaluation harness from the lab. Measured outcomes brief signed before any production commitment.
- 04
Phase 3B · Mentored Install (3 wk fixed + T&M)
Production deployment with multi-node/HA, full agentic workflow, signed agent-authority matrix, production readiness gate, self-sufficiency attestation, 90-day post-deploy check-in.
What On-Premise AI Deployment delivers.
Concrete, customer-side results we measure to.
- 0%Cloud egress on sensitive datasets
- 8Models in BTA's catalog
- Day 1Audit-ready compliance posture
- OwnedDay-2 by mentored customer team
We're architects who execute.
Three principles every BTA engagement runs on. Visible in the work itself.
We architect, deploy, and stay through Day-2.
Every engagement is end-to-end. We design the target environment, deploy it in stages, and remain on hand through the operational handoff.
We train your team to own the outcome.
Training is part of every engagement. By the close of an engagement, your operators can run, maintain, and defend the system to an auditor.
We measure success when your team runs it alone.
An engagement closes when your team is operating the solution without us in the room. SIMPLE methodology enforces this exit criterion on every project.
We meet you where you are.
Some teams want the full BTA delivery from architecture to handoff. Others bring us in for a single advisory window or a fully managed operations contract. Pick the model that fits and adjust as the business changes.
Consulting & Advisory
Strategy and senior guidance. Architecture reviews, technology assessments, and roadmap design for teams that own their own operations.
Learn moreManaged Services
BTA runs the system day to day under your governance. Monitoring, change management, escalation paths, and SLAs for teams without Day-2 capacity.
Learn moreDeployment
Implementation-only engagement. Faster than the Full Service Lifecycle when the customer team will not own operations afterwards.
Learn moreOptimization
Refresh and refine an existing environment. Performance, automation, and refactor work for platforms already in production.
Learn moreEnablement
SIMPLE-driven Quickstart programs that deliver a specific Cisco capability into production on a known timeline.
Learn moreMentoring
Capability transfer for teams adopting a new platform. Pair-programming, custom training modules, and Cisco MINT-aligned curriculum.
Learn more
Questions buyers ask about On-Premise AI Deployment.
Direct answers from BTA architects who run these engagements.
Is this a pilot or production?
Phase 3A is a measured proof-of-value, not production. Phase 3B is production with multi-node/HA, full agentic workflow, governance sign-off, and self-sufficiency attestation. The Phase 3A → 3B path is the customer's decision based on the measured outcomes brief.What is the BTA AI POD?
A production Cisco UCS X Series platform with NVIDIA L40S GPUs that BTA operates and maintains. Phase 2 architecture validation and model tuning happen in this lab. The model catalog, agentic pattern library, and governance controls are battle-tested in the platform BTA runs in production, not reference slides.What about NIST AI RMF and EU AI Act?
Governance controls install during Phase 2: prompt-injection defenses, output filters, data-leakage guardrails, per-action audit logs, kill-switch authority. Phase 3B adds full alignment to NIST AI RMF and ISO/IEC 42001, EU AI Act risk-tier classification (where in-scope), model and data card templates, agent-authority matrix.Who owns Day-2?
Your team. Phase 3B is a mentored install: customer team is mentored to operate without BTA on Day-2. Production readiness sign-off includes a self-sufficiency attestation. BTA returns for a 90-day post-deploy check-in cycle.Do we need new hardware?
Usually not. QuickStrike runs on existing Cisco UCS or comparable hardware with GPU capacity. Phase 3A specifies a minimum host (NVIDIA L40S 48GB or L4 24GB GPU, 128GB RAM, 2TB NVMe, 10GbE).Which compliance frameworks are addressed?
HIPAA, CMMC Level 2, SOC 2 TSCs, and PCI DSS v4.0 mapped against NIST CSF 2.0 and NIST AI RMF. Compliance gap snapshot delivered in Phase 1; compliance path signed in Phase 3B kickoff.
Schedule a call. We’ll scope it in 30 minutes.
Bring your hardest architecture problem. We’ll tell you what we’d do, what it costs, and how long it takes.
- 30-minute scoping call
- 1,000+ projects shipped
- Training in every engagement