Open-source components. Your cloud. Full source code handover.
What We Build
A complete GenAI platform—infrastructure, orchestration, prompts, and governance—built for your specific workflows and handed over entirely.
Kubernetes or serverless deployment in AWS, GCP, or Azure. Terraform-provisioned, fully documented, and designed for scale. Your ops team can manage it from day one.
LangChain, CrewAI, or AutoGen-based workflows. Multi-agent systems with tool-use, memory, and reasoning. MCP integrations for enterprise connectivity.
Battle-tested prompt engineering tailored to your use cases—with chain-of-thought reasoning, safety guardrails, brand voice customization, and fallback strategies.
Automated testing harnesses, hallucination detection, output quality scorecards, and regression testing for prompt changes. Deploy with confidence.
Data residency controls, audit logging, role-based access, and compliance-ready architectures. Built for regulated industries from the ground up.
Full source code, architecture documentation, runbooks, and hands-on training for your team. We build it. You own it. You run it.
The AI Platform Dilemma
Generic chatbots with opaque pricing, limited customization, and data you don't control. Every integration deepens your dependency.
Your engineers spend 12-18 months stitching together LangChain, vector databases, and infrastructure—instead of shipping product.
Public APIs, unclear data handling, no audit trails. Your CISO is nervous. Your compliance team is blocking deployment.
Most consultants build infrastructure but hand you generic prompts. Your agents hallucinate, miss edge cases, and embarrass your brand.
Our Solution
A proven engagement model that delivers working AI agents—not endless discovery phases.
Complete transfer of all code, infrastructure templates, documentation, and training materials. No hidden dependencies.
Built on LangChain, CrewAI, or AutoGen. FastAPI backends. Kubernetes or serverless. Your team can extend it without us.
Deployed in your AWS, GCP, or Azure environment. Full data residency control. Compliance-ready from day one.
Use Cases
Resolve 30-50% of tickets without escalation. Route complex issues with full context. Maintain brand voice and safety guardrails. (40% ticket deflection · 25% faster resolution)
Generate first-pass proposals, competitive positioning, and case study recommendations. Accelerate time from lead to proposal. (60% faster proposal generation)
Process invoices, onboard employees, generate compliance reports. Workflow agents that follow your exact business rules. (Audit-ready decision logs)
Code review suggestions, documentation generation, runbook assistants. Agents that match your team's standards and conventions. (30% faster review cycles)
A proven engagement model that delivers working AI agents—not endless discovery phases.
Week 1-3: Discovery & Design
We identify your highest-impact AI use cases, map data flows, and define success metrics. You get a detailed architecture blueprint and prompt strategy before we write a line of code.
Week 4-10: Build & Engineer
Infrastructure deployment, agent orchestration, and deep prompt engineering. We build, test, and iterate on your agents until they meet your quality gates—not generic benchmarks.
Week 10-12: Harden & Hand Over
Security hardening, evaluation frameworks, documentation, and training sessions. Your team learns to operate, optimize, and extend the platform independently.
Ongoing: Optional Advisory
Monthly or quarterly optimization cycles—prompt A/B testing, failure analysis, capability expansion. No lock-in; available when you need us.
Deep dives into AI platform development, prompt engineering, and production deployment strategies. Learn from our experience building GenAI systems for regulated industries.
Deploying AI in healthcare, financial services, and insurance now requires navigating an unprecedented regulatory convergence including the EU AI Act and US sector regulations.
Concrete architectural patterns that preserve your options without sacrificing the speed benefits of managed services. A checklist for teams actively designing agent platforms.
The gap between demo and production isn't about infrastructure or scaling. It's about prompt fragility—and the fix is treating prompts with the same engineering rigor you apply to code.
Between 70% and 95% of AI agent projects never reach production—and the gap between an impressive demo and reliable deployment has become the silent killer of ambitious AI initiatives.
FAQs
Answers to common questions about our AI platform development services.
Most consultancies optimize for ongoing billable work. We optimize for handover. You get complete source code, documentation, and training. Our success is measured by whether you can run and extend the platform without us.
We build on proven open-source: LangChain, CrewAI, or AutoGen for orchestration; Kubernetes or serverless for deployment; Terraform for infrastructure-as-code; FastAPI for APIs; PostgreSQL/pgvector or Pinecone for vector storage. Everything is customized to your cloud and requirements.
8-12 weeks from discovery to production for a single-use-case platform. Larger multi-agent systems or enterprise deployments may take 12-16 weeks. We scope tightly and deliver incrementally—you see working agents early.
We offer optional monthly or quarterly advisory retainers for prompt optimization, A/B testing, and capability expansion. But you're never locked in—your team can operate independently from day one.
Yes. We deploy in AWS, GCP, or Azure—whichever you use. We integrate with your existing IAM, networking, and security policies. No separate vendor environments required.
Everything runs in your cloud, under your control. We build with data residency, audit logging, and role-based access from the start. We've delivered platforms for healthcare, financial services, and regulated industries.
We frequently augment internal efforts. We can review your architecture, take over prompt engineering, or accelerate specific components. Our goal is to get you to production faster—not to replace your team.
We provide detailed proposals after a discovery conversation. It depends on scope, complexity, and enterprise requirements. No hourly billing—fixed scope, fixed price.
Let's talk about your AI platform. We'll map your use cases, outline an architecture, and show you what's possible in 8-12 weeks.
