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Real reviews from teams shipping real AI
Strategy, custom models, integrations, and production engineering. We partner with your team from the first conversation to a live, supported system. No handoffs, no surprises.
We deliver the whole system, then stay on the line. Strategy, build, launch, support, all under one roof.
We map where AI moves your business and where it doesn't. Honest scope, no upsell.
From RAG to fine-tuned models, plumbed into your stack. OpenAI, Anthropic, open source. Your call.
Auth, monitoring, evals, CI/CD, cost guardrails. The boring stuff that keeps AI alive in production.
Models drift. Vendors change. We stay on the line so your AI keeps working a year from now.
Some teams are still figuring out where AI fits. Some are layering it into a product their customers already love. Some are building something brand new with AI at the core. We've partnered with all three. Tell us where you are, and we'll meet you there.
You know AI could help, but you're not sure where to start, what's worth building, or what the real cost-benefit looks like. We'll sit down with your team, look at your work, and come back with a short list of practical use cases ranked by impact and lift.
Your product is live and your customers depend on it. You want to add AI value without breaking what's working. We find the right places, build the new layer to fit your data and users, and ship a feature your team can support on its own.
You have an idea for a product where AI is the whole point, and you want to build it right the first time. We take it from concept to a launched, tested system your customers can rely on, with senior engineers owning the whole thing from day one.
We map your stack, your data, and the use case together. You leave with a scoped proposal, a fixed price, and a delivery date, or you leave with nothing owed. No pressure either way.
We build in your stack with your team in the loop. You see real progress as it happens, not slide decks. Pause anytime priorities shift. You don't pay until you see the first working deliverable.
We deploy, instrument, and hand over the keys. You own the code, the models, and the infrastructure. We stay on call for 30 days, longer if you want.
Two questions. A realistic range. No email required.
Thirty minutes, no sales script. Real talk about your project. We'll tell you if we're the right fit. If we're not, we'll tell you who is.
Book a discovery call →AI integration is the work of connecting AI capabilities (language models, vision, classification, automation) into the systems you already use. It includes choosing the right models, building data pipelines, plumbing AI into your application, and operating it in production with monitoring, cost controls, and quality checks.
A focused project with one clear use case typically takes 6 to 12 weeks from kickoff to production. A larger system with multiple workflows, custom data pipelines, and full monitoring runs 4 to 6 months. We share working software with you on a steady cadence throughout, so you see real progress before any major milestone.
A targeted AI project with one clear use case typically runs $30,000 to $80,000. A larger system with multiple AI workflows and full monitoring runs $80,000 to $200,000 and up. The cost estimator above gives you a realistic range in 30 seconds with no email required, and you pay nothing until you see the first working piece.
We work with OpenAI (GPT-4, GPT-4o), Anthropic (Claude), Google (Gemini), Meta (Llama), Mistral, and open-source models hosted on AWS Bedrock, Azure, or your own infrastructure. We choose the model based on your use case, data sensitivity, latency needs, and budget. We're vendor-agnostic, and we'll tell you when an open-source model beats a paid one.
Your data stays in your environment. We use private model endpoints, VPC-isolated inference, and encryption in transit and at rest. For regulated industries (healthcare, finance, government), we deploy fully on-premise or in your private cloud. We're also experienced with SOC 2, HIPAA, and FedRAMP requirements.
That's the bar. We build evals, monitoring, and drift detection into every system. When a model gets deprecated or quality drifts, you'll know before your users do. Our optional support retainer keeps your AI healthy long after launch.
You do, on day one. Your repositories, your cloud accounts, your model weights, your training data. Nothing is licensed to you, nothing is rented. We hand you the keys at the end of the engagement, and you're free to take it anywhere.
We default to fixed-scope, fixed-price for the first phase so you have certainty going in. Once we've shipped together, ongoing work is usually on a monthly retainer. You can pause, scale up, or end the retainer with 30 days' notice.
Yes, and most of our work is exactly this. We plumb AI into your existing stack with feature flags, gradual rollouts, and clear off-ramps if something doesn't work. No big-bang rewrites required.
It depends on the use case. The wins we see most often: 40 to 70 percent reduction in manual processing time on document-heavy workflows, support deflection of 25 to 50 percent on well-bounded use cases, and 10 to 30 hours per week of analyst time saved on research and summarization. We scope the project so the ROI is measurable from week one.
We'll talk it through together. No pitch, no pressure. You'll see your first working deliverable before you spend a dollar.
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