Services

Custom AI Platform

An AI platform shaped around your business

When off-the-shelf AI tools cannot handle your data, your compliance requirements or your scale, we build a custom platform from the ground up — owned by you, deployed where you need it.

Purpose-built for your use case
Runs on your cloud or on-premise
Fine-tuned models on your data
Full IP ownership and no vendor lock-in
Enterprise security and compliance

What this engagement covers

Scoped to your situation — we start with what you already have rather than a fixed package.

Architecture design

We design the platform around your specific use case, data volumes, latency requirements and compliance constraints from day one.

Model fine-tuning

Base models fine-tuned on your proprietary data to achieve accuracy levels that generic models cannot reach on your domain.

RAG pipelines

Retrieval-augmented generation over your document corpus with citation, freshness controls and permission-aware access.

Private deployment

Runs inside your AWS, GCP or Azure account — or fully on-premise. Your data never leaves your infrastructure.

Evaluation harness

Automated testing that catches regressions before they reach users. Golden datasets, A/B testing and human review workflows.

Scaling infrastructure

Auto-scaling inference, request queuing, caching and cost controls so the platform handles traffic spikes without surprise bills.

Our Process

Fixed checkpoints, visible progress and a working demo every two weeks.

01
Find the Itch
We audit your team's repetitive tasks, manual SOPs, and legacy software bottlenecks.
02
Agent Architecture
We configure model harnesses, memory vaults (Honcho), cloud VMs (Orgo), and tool connectors.
03
7-Day Sprint Deploy
We test edge cases, configure human approval checkpoints, and launch in 7 business days.
04
24/7 Operations & Scale
Continuous monitoring, error recovery, security hardening, and ongoing model upgrades.

What you get

Custom AI platform deployed on your infrastructure
Fine-tuned models with evaluation benchmarks
API layer for integration with your applications
Operations runbook and team training

Tools we reach for

Chosen per project, not per habit. If your team already runs something that works, we build on it.

Claude
OpenAI
Llama
Python
Kubernetes
Terraform
AWS
PostgreSQL

FAQ

Custom AI Platform — common questions

Build custom when you need private deployment, fine-tuning on proprietary data, or control over the full stack. If a SaaS tool covers 90% of your needs, it is probably the better choice.