AI integration for engineering teams

We're a team of engineers who build production-ready AI features for web and mobile applications.

What We Do

We help engineering teams integrate AI into their applications. Most of our work involves:

  • •Building LLM-powered features (chatbots, document analysis, code generation)
  • •Creating AI agents that use tools and complete multi-step tasks
  • •Implementing RAG systems for document search and Q&A
  • •Automating workflows with natural language processing

We focus on production readiness: error handling, monitoring, cost control, and integration with existing systems.

Our Principles

How we approach AI engineering projects.

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Production-ready

We build systems that work in production, not just demos. This means error handling, monitoring, rate limiting, and cost controls.

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Realistic expectations

LLMs are powerful but not magic. We're upfront about limitations, failure modes, and when a simpler approach is better.

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Clear communication

Regular check-ins, no jargon, and honest feedback. We show work-in-progress early and often.

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Vendor-neutral

We recommend the tools that fit your needs, not the ones we're most comfortable with. OpenAI, Anthropic, open-source—we work with all of them.

Team Structure

We're a small team of full-stack engineers with experience in AI/ML engineering, backend systems, and product development.

Our Background

  • • Previously at FAANG and AI research labs
  • • Full-stack web and mobile development
  • • ML engineering and model deployment
  • • Product management and user research

How We Work

  • • Fully remote, US-based
  • • Work in 1-2 week sprints
  • • Daily or every-other-day check-ins
  • • Flexible engagement (project or retainer)

Common Questions

Do you only work with startups?

No. We work with companies of all sizes—from early-stage startups to established enterprises. The common thread is that you have an engineering team and want to integrate AI into your product.

Do you offer ongoing support and maintenance?

Yes. After initial deployment, we offer ongoing support retainers for monitoring, bug fixes, and feature updates. This is optional—some clients prefer to handle this internally.

What if we already have an AI strategy?

Great! We can work as implementation partners to execute your existing plan. Many clients come to us with a clear vision and need help with the technical execution.

How do you handle data privacy and security?

We support on-premise deployments, self-hosted models, and GDPR/HIPAA-compliant architectures. We never train on your data without explicit consent, and we can sign NDAs and DPAs.

What's the typical engagement length?

Projects typically range from 2-8 weeks for initial implementation. Ongoing retainers can be month-to-month or quarterly, depending on your needs.

Ready to work together?

Schedule a call to discuss your project and see if we're a good fit.

Schedule a Call