Every build starts with a Proof Pilot — $18,000–$25,000 fixed, 30 days, baseline measured in week one, success metric signed before we write code. When the number works, the Production Build ($45,000–$75,000 fixed, 8–12 weeks) ships the full system into your cloud with evals as CI gates and an operations trial included. The categories below are what we build pilots of.
First time buying AI? Start smaller: the $3,000 Workflow Pilot or the $7,500 Readiness Audit.
Cut through AI complexity with senior, vendor-neutral guidance. We help you decide what to build, what to buy, and what to skip — before a line of code is written.
Senior guidance for AI roadmaps that hit measurable results.
We help you turn AI ambition into a 90-day execution plan. Build vs. buy decisions, model choice, infrastructure footprint, and a phased roadmap optimized for measurable ROI rather than headlines.
What you get
Typical timeline
1–2 weeks
Tech we use
We build the AI systems that actually ship. Every implementation is fixed-price and fixed-scope, with a working pilot in your hands in 3–4 weeks.
Production-ready agents with tool use, observability, and integrations.
Agents that actually work in production — not just in demos. We build with proper tool calling, observability, evaluation, and graceful failure modes. Integrated into Slack, internal APIs, and the rest of your stack.
What you get
Typical timeline
3–4 weeks pilot · 6–10 weeks production
Tech we use
Conversational answers grounded in your private data.
Retrieval-augmented generation done right: evaluated retrieval, hybrid search, citation traceability, and an evaluation harness so you know your answers stay accurate as your data changes.
What you get
Typical timeline
3–4 weeks pilot · 6–8 weeks production
Tech we use
Extract structured data from messy, unstructured documents.
Contracts, invoices, forms, claims — we build pipelines that parse, classify, and extract structured data from documents at scale, with confidence scoring and human-in-the-loop fallbacks for the edge cases.
What you get
Typical timeline
3–6 weeks
Tech we use
Domain-specific models that improve accuracy and cut inference costs.
When prompting and RAG aren't enough, fine-tuning produces smaller, faster, cheaper, more accurate models for your specific domain. We handle data prep, training, evaluation, and deployment.
What you get
Typical timeline
3–6 weeks
Tech we use
AI infrastructure that's secure, observable, and cost-controlled. We work in your cloud account so you keep full ownership of your data, models, and spend.
Move from third-party APIs to your own cloud account.
Migrate from OpenAI / Anthropic API dependencies to models running in your own AWS, Azure, or GCP account. Cut per-call costs, keep your data inside your VPC, and gain full control over models, versions, and capacity.
What you get
Typical timeline
4–8 weeks
Tech we use
Production-grade CI/CD, monitoring, and infra for AI workloads.
Production AI is a systems problem, not a model problem. We set up CI/CD, IaC (Terraform/CDK), eval pipelines, monitoring, alerting, IAM, and auto-scaling — all tuned for the spiky cost and latency curves of AI workloads.
What you get
Typical timeline
2–4 weeks
Tech we use
Book a free 45-minute fit call — you leave with a recommendation for exactly one offer, or an honest pass.
