AI that works inside your existing stack
Custom ML models, MLOps pipelines, legacy system integration, and production AI agents: built to your specs, deployed in your infrastructure, maintained by our team.
NDA signed before discovery · Scoped engagements · No black-box pricing
Defined scope, fixed timelines, weekly progress reports.
Monitoring, alerting, and on-call coverage included.
Your data never leaves your infrastructure without consent.
We build integration layers: we don't touch your core stack.
Capabilities
Four Infrastructure Capabilities
Each service is a scoped engagement with defined deliverables and timelines. Request a quote to get started.
Custom ML Development
Fine-tune foundation models on your proprietary data. Build domain-specific classifiers, ranking systems, and prediction models your competitors can't replicate.
- GPT, Claude, Llama fine-tuning
- Computer vision & NLP
- 8-12 week delivery
- You own the model weights
MLOps & AI Deployment
CI/CD pipelines, model monitoring, automated retraining, and rollback infrastructure so your AI systems stay accurate and available at scale.
- 99.9%+ uptime SLA
- Drift detection & alerts
- Automated retraining
- Multi-cloud deployment
Legacy System AI Integration
Add AI capabilities to mainframes, ERPs, and proprietary systems without touching core infrastructure. API layers, event bridges, and data pipelines built around your existing stack.
- Zero downtime integration
- COBOL, AS/400, SAP, Oracle
- SOC 2 compliant pipelines
- 8-16 week delivery
Production AI Agents
Multi-step autonomous agents that handle complex decision-making workflows across your systems: escalation logic, tool use, and human handoff built in.
- Multi-agent orchestration
- Tool use & API integration
- Full audit trail
- 90-day post-launch support
Compliance
Security & Compliance
Enterprise controls built into every engagement: not bolted on at the end.
SOC 2 Type II
All pipelines and infrastructure follow SOC 2 security controls.
HIPAA Ready
Healthcare data handling with BAA, audit logs, and encryption at rest.
GDPR Compliant
Data residency controls, consent management, and right-to-delete support.
Data Sovereignty
Deploy in your AWS, Azure, or GCP account. We never store your data.
Encryption
TLS 1.3 in transit, AES-256 at rest, zero plaintext storage.
Audit Logging
Full decision audit trail for every model prediction and agent action.
Process
How Enterprise Engagements Work
Every phase has a defined output. Nothing proceeds to the next phase without your sign-off.
Technical Discovery
Week 1-2We assess your existing stack, data readiness, compliance requirements, and business objectives. Output: architecture proposal + risk assessment.
Architecture Design
Week 2-3System design reviewed with your engineering team. Integration points, data flows, and security controls documented before any code is written.
Build & Integrate
Week 4-10Parallel development tracks with weekly demos. You have access to a shared project workspace with full visibility into progress.
Testing & Validation
Week 10-12Load testing, security review, and UAT in your staging environment. No production deployment until your team signs off.
Production & Handoff
Week 12-16Staged rollout, runbook documentation, team training, and 90-day post-launch support included.
Our Work
Enterprise Work
Projects delivered on time, in-scope, and still running.
FAQ
Enterprise FAQ
Common questions from engineering and procurement teams.
Ready to scope an engagement?
Send us a brief on what you're trying to build. We'll respond within one business day with an honest assessment of feasibility, timeline, and cost range.
Enterprise Services: