Generative AI
Generative AI Development
We build production-grade generative AI applications — custom GPT-powered tools, AI copilots, content generation systems, and multimodal solutions. Every application includes guardrails, output validation, and monitoring to ensure reliable, accurate, and safe AI generations at enterprise scale.
Generative AI That Works in Production
The gap between a ChatGPT demo and a production generative AI system is enormous. Demos hallucinate, lack guardrails, and can't handle edge cases. Production systems need output validation, citation tracking, confidence scoring, rate limiting, cost management, and monitoring — all while maintaining the natural, helpful user experience that makes generative AI valuable.
We've shipped generative AI applications across healthcare, finance, legal, and SaaS — industries where accuracy isn't optional. Our systems use RAG to ground outputs in verified data, implement layered guardrails to prevent harmful or off-topic responses, and include human-in-the-loop review paths for high-stakes outputs.
Capabilities
What We Build
Custom GPT Applications
Domain-specific AI applications powered by GPT-4, Claude, or open-source models. Tailored prompting, function calling, and tool use for your specific workflows.
AI Copilots
Intelligent assistants embedded in your existing tools — coding copilots, writing assistants, research aids, and decision-support systems that understand your domain.
Content Generation
Automated report generation, email drafting, documentation creation, and marketing content systems with brand voice consistency and factual grounding.
Multimodal AI
Applications combining text, image, and audio — visual document understanding, image generation with brand guidelines, audio transcription and summarization.
Conversational AI
Intelligent chatbots and virtual assistants with context awareness, multi-turn conversation, tool calling, and seamless handoff to human agents when needed.
AI Safety & Guardrails
Output filtering, content classification, prompt injection defense, PII detection, topic boundaries, and compliance-enforced generation for regulated industries.
Technology
GenAI Stack
Results
GenAI Case Studies
Multi-Agent CRM Platform
GPT-4 powered multi-agent system for automated email drafting, lead qualification, and CRM updates with human approval workflows.
AI Contract Analysis
Generative AI for contract summarization, clause extraction, and risk scoring across 50+ contract templates.
FAQ
Generative AI Questions
What types of generative AI applications can you build?
We build custom GPT-powered applications, AI copilots for domain-specific tasks, content generation systems, conversational AI assistants, multimodal applications, and RAG-enhanced systems that ground outputs in your proprietary data.
How do you ensure outputs are accurate?
We use RAG to ground outputs in verified data, output validation pipelines, confidence scoring, citation tracking, automated fact-checking, and human-in-the-loop review for high-stakes outputs. We also implement guardrails to prevent harmful or off-topic generations.
Which model should we use?
It depends on your requirements — accuracy, latency, cost, privacy, and customization needs. Often the best solution combines models: a fine-tuned smaller model for high-volume tasks and a frontier model for complex reasoning. We'll evaluate options with your actual data.
What does a GenAI project timeline look like?
A focused application takes 6-10 weeks: discovery (1-2 weeks), MVP (3-4 weeks), guardrails and refinement (2-3 weeks), deployment (1 week). Complex multi-modal or multi-agent systems take 12-16 weeks.
Ready to Build with Generative AI?
Tell us about your use case. We'll design a generative AI solution with the right model stack, guardrails, and architecture.
Start Your GenAI Project