We ship AI-native SaaS, add AI co-pilots to existing products, and help engineering teams adopt AI-augmented development the right way — with evals, retrieval rigour, and production-grade architecture.
Greenfield AI-native SaaS build: RAG retrieval, eval framework, structured outputs, agentic flows, multi-model routing, and surrounding SaaS infrastructure. AI co-pilot integration into existing products: in-app chat, smart search, classification, summarisation, drop-in assistants. AI-augmented engineering consulting: rolling out Cursor, Claude, and GPT for an engineering team using our internal AI Co-pilot Lifecycle methodology.
Discovery and AI feasibility triage (separating the problems that need AI from the problems that just need software), eval-first architecture design, sprint-based build with eval tracking every cycle, then launch with CI-integrated evals so prompt and model changes never silently regress in production.
OpenAI and Anthropic Claude for foundation models, LangChain and LlamaIndex for orchestration. Pinecone, pgvector, Weaviate, and PostgreSQL for retrieval. AWS Bedrock and Azure OpenAI for managed inference. Kubernetes for self-hosted workloads. Sentry and OpenTelemetry for observability and tracing.
Most AI SaaS is built by people who never measure their own outputs. They wire up an OpenAI call, see a few impressive demos, and ship. Six weeks later their customers notice the answers got worse and nobody can tell why. We build AI products the way we build any production software — with eval frameworks, structured outputs, retry-and-fallback logic, model routing for cost control, and observability you can debug at 3am.
Free 30-minute SaaS strategy call. No sales pitch — just a real conversation about your product, architecture, and timeline. Book a strategy call or send us a message.
Email: hello@devtechslopes.com
Phone: +92 336 407 6584
Address: 17–25 PVC Street, Ellahi Colony, Gujrat, Pakistan
Serving SaaS founders across the United States, Canada, United Kingdom, Australia, and New Zealand.