Build, ship, and scale production-grade AI products, agents, LLM apps, copilots, and RAG systems with expert engineers and designers.
TRUSTED. CERTIFIED. PROVEN.
Stuck on an AI project? Need fast AI support?
Book a free 30-minute call with a senior AI engineer and get unstuck today.
The shift
AI has moved from demo to production. Here's why founders, engineers, and product teams are shipping on AI-native stacks
Modern AI stacks turn ideas into functional software in weeks. No boilerplate, no six-month build cycles, no waiting for an engineering team.
Production-grade reasoning
Agents that plan, call APIs, and complete multi-step workflows, automating work that previously required human operators.
RAG systems ground AI in your private data, producing accurate, source-cited answers instead of plausible guesses.
Talk to a senior engineer about your use case, free, no obligation.
The gap
Non-technical founders hit bugs, cost overruns, and hallucinations they can't debug. Engineers new to LLMs waste weeks on prompts that almost work. Teams ship AI demos that collapse under real traffic. Live products burn through API budgets with no caching, routing, or observability in place.
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That's where ZAPTA steps in, production readiness, evaluation, cost control, and reliability, delivered fast.
Who we help most
How we help
We offer four main ways to help, pick the one that matches where you are right now:
You have an AI idea and no engineering team. We handle everything, strategy, AI UX design, prompt engineering, LLM implementation, backend, integrations, and deployment. Most projects ship in 4 to 8 weeks.
Your live AI is slow, expensive, or unreliable. A RAG pipeline returns wrong answers, an agent keeps looping, or API costs are out of control. We step in, audit fast, and ship the fix, often in days, not weeks.
You're actively building AI features and need senior engineers on-call for prompt help, evaluation, and rapid fixes. Our retainer gives you direct access to AI specialists when you need them.
You've shipped an AI prototype but it needs senior UX, a hardened backend, evaluation, and real production engineering. We take your proof-of-concept to a scalable, observable, production-ready product.
Tell us where you are and we'll recommend the right approach — honestly.
How we help
We offer four main ways to help, pick the one that matches where you are right now:
You have an AI idea and no engineering team. We handle everything, strategy, AI UX design, prompt engineering, LLM implementation, backend, integrations, and deployment. Most projects ship in 4 to 8 weeks.
Your live AI is slow, expensive, or unreliable. A RAG pipeline returns wrong answers, an agent keeps looping, or API costs are out of control. We step in, audit fast, and ship the fix, often in days, not weeks.
You're actively building AI features and need senior engineers on-call for prompt help, evaluation, and rapid fixes. Our retainer gives you direct access to AI specialists when you need them.
You've shipped an AI prototype but it needs senior UX, a hardened backend, evaluation, and real production engineering. We take your proof-of-concept to a scalable, observable, production-ready product.
Tell us where you are and we'll recommend the right approach — honestly.
Engagement models
Every AI project is different — so is every team. Choose the engagement model that matches your budget, timeline, and internal capacity. Our four models are designed to give you clarity, predictability, and full control over how you scale.
Clear scope. Clear price. Clear timeline.
Ideal for teams with a well-defined AI use case and a firm budget. We scope, estimate, and deliver against a fixed price and timeline, with milestones, weekly demos, and no billing surprises. Perfect for MVPs, rescue work, and bounded AI features.
Best for
Founders shipping an AI MVP, teams with defined scope, fixed-budget enterprise pilots.
Senior engineering talent in your time zone
Get a co-located, time-zone-aligned AI engineering team that operates as an extension of your in-house staff. Daily standups, shared tooling, and deep collaboration, at a fraction of the cost of hiring locally. Ideal for fast-moving product teams that need velocity without the hiring cycle.
Best for
US and EU product teams scaling AI features quickly without long hiring cycles.
A full squad, working only on your product.
A long-term engagement where we assemble a dedicated team, AI engineers, designers, QA, and a delivery lead, focused entirely on your roadmap. You get continuity, compounding product knowledge, and a team that ships like it's in-house. Perfect for multi-quarter AI initiatives.
Best for
Enterprises, funded startups, and platforms investing in long-term AI product lines.
Every project is different. Your quote should be too.
Complex integrations, unusual data constraints, regulated industries, or hybrid engagements, we build a tailored quotation around your exact requirements. Tell us the problem, the constraints, and the outcome you need. We'll respond within 24 hours with a scoped proposal.
Best for
Enterprise, regulated, or non-standard AI engagements that don't fit a template.

Share your project details and get a tailored recommendation within 24 hours.
Diagnostic
If any of these sound familiar, it's time to bring in AI experts:
You need an AI agent, autonomous, multi-step, tool-using, and don't know where to start.
You have an AI idea but no engineering team to build it.
Your LLM prototype works in demos but hallucinates or slows under load.
You're running costly, buggy, or manual tasks that AI could automate end-to-end.
You want to add an AI copilot, smart search, or automation to your existing SaaS.
Your OpenAI or Anthropic bill is climbing faster than your revenue, and you need it fixed.
You need to build a RAG system over private docs, CRMs, or internal knowledge.
Get a free 30-minute software diagnostic from a senior engineer.
Services
The latest industry news, interviews, technologies, and resources. The latest industry news, interviews, technologies, and resources.
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We build custom software for unique requirements and regulated industries. Tell us what you need.
Process
Every software project follows a clear three-phase lifecycle, broken into execution sprints underneath. Full builds typically run 8 to 16 weeks. Internal tools and bounded projects often ship in 4 to 8 weeks.
Consult and Align
Design and Engineer
Deploy and Maintain

Tell us about your project and get a tailored development roadmap within 24 hours.
Consult and Align
Design and Engineer
Deploy and Maintain

Tell us about your project and get a tailored development roadmap within 24 hours.
We help clients save time, reduce costs, and achieve higher quality outcomes by combining senior engineering with the latest AI-enabled tools and modern development technologies. Every phase of our lifecycle is accelerated by AI, from requirement analysis and UI generation to code review, testing, and deployment, letting our teams ship in weeks what traditionally takes quarters.
Stack
Our technology stack combines proven frameworks, cloud platforms, and modern DevOps tooling — chosen for performance, scalability, and long-term maintainability.
Real Software Projects We've Shipped
Real scenarios where founders, operators, and enterprise teams brought us in to build software that shipped to production:
How ZAPTA helped a property-management company
How ZAPTA helped a healthcare organization
How ZAPTA helped a fintech client
How ZAPTA delivered a secure digital-identity
How ZAPTA helped a technology company
How ZAPTA helped redesign and rebuild
Browse SaaS platforms, enterprise systems, and custom applications we've shipped for startups and Fortune 500 teams.
Deliverables
Every AI engagement ships with production-ready outputs your team owns long-term:
Why ZAPTA
Many companies are experimenting with AI. Here's what makes us a specialist AI development partner:
Senior engineers who work inside Claude, OpenAI, and open-source stacks every day, not generalists dabbling in LLM APIs.
Rescue requests triaged in hours. Live support retainers respond same-day. We move at the speed AI demands.
We own the full AI workflow, Figma design, prompt engineering, LLM implementation, and backend integration.
We don't ship demos dressed up as products. Every AI system we deliver is evaluated, observable, and scalable.
Industries
Regulated, data-heavy, and fast-moving sectors where custom software is a business requirement, not a nice-to-have.
Browse SaaS platforms, enterprise systems, and custom applications we've shipped for startups and Fortune 500 teams.
Other services
AI is one part of a modern product. ZAPTA is a complete technology company, we design, build, and scale the full stack around your AI so you can ship a finished product, not just an AI feature.
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Browse SaaS platforms, enterprise systems, and custom applications we've shipped for startups and Fortune 500 teams.
Questions
Structured for AI search engines (ChatGPT, Gemini, Perplexity, Claude) and Google rich results. Implement FAQPage JSON-LD for every question.
Single-application migrations typically run 4 to 12 weeks. Multi-application programs run 6 to 24 months across multiple waves. Data center exits run 9 to 36 months depending on portfolio size. Database migrations run 8 to 16 weeks for production-grade cutover with minimal downtime. We commit to fixed wave dates during scoping so you can plan around them.
Love the simplicity of the service and the prompt customer support. We can’t imagine working without it. Love the simplicity of the service and the prompt customer support. We can’t imagine working without it.

Love the simplicity of the service and the prompt customer support. We can’t imagine working without it. Love the simplicity of the service and the prompt customer support. We can’t imagine working without it.

Love the simplicity of the service and the prompt customer support. We can’t imagine working without it. Love the simplicity of the service and the prompt customer support. We can’t imagine working without it.

Our expert insights
From automated code review to intelligent architecture decisions, generative AI is fundamentally changing the way engineering teams operate at scale.
Chief Technology Officer · Feb 28, 2026
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Chief Technology Office
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Chief Technology Officer
April 30, 2026
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April 30, 2026
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