AI Applications
Custom AI-powered applications built for your specific domain. From intelligent assistants to decision support systems.
- Custom model fine-tuning
- Domain-specific training
- Production deployment
Production-grade LLM applications, RAG systems, and intelligent automation. From prototype to scale — built by engineers who've done it before.
Trusted by technical teams
We handle the full lifecycle — from initial architecture to production deployment and ongoing optimization. Every system is built for reliability, scale, and measurable results.
Custom AI-powered applications built for your specific domain. From intelligent assistants to decision support systems.
Seamlessly integrate large language models into your existing infrastructure with proper guardrails and monitoring.
Retrieval-augmented generation pipelines that give your AI accurate, up-to-date knowledge from your data.
Intelligent automation that handles complex workflows, reduces manual work, and scales with your business.
Real-time analytics and monitoring dashboards that surface insights from your AI systems.
Implementation of responsible AI practices, content filtering, and compliance frameworks.
A focused, technical process designed for teams that need AI systems that actually work in production.
We start with deep technical discovery. Understanding your systems, data, and the specific problem you're solving.
Rapid prototyping followed by production-grade development. We ship iteratively with continuous feedback.
Deployment to your infrastructure with proper CI/CD, monitoring, and documentation.
Ongoing optimization, scaling support, and iteration based on real-world performance data.
Real systems, real metrics. Here's what we've shipped for teams like yours.
Built a RAG system that processes 10,000+ contracts daily, extracting key clauses and flagging risks with near-human accuracy.
Deployed an LLM-powered support agent that handles complex product questions, integrated with existing helpdesk and knowledge base.
Automated a multi-step data reconciliation process that previously required manual review, with full audit trail and exception handling.
We use battle-tested tools and stay current with what actually works in production. No hype-driven architecture decisions.
Stack agnostic. We adapt to your existing infrastructure and recommend tools based on your specific requirements, scale, and budget — not vendor relationships.
Schedule a technical consultation. We'll discuss your project, assess feasibility, and outline a concrete path forward.