Generative AI built on your data, not generic demos
Custom LLM applications, fine-tuned models, and content systems, architected for production.
We build generative AI applications that use your data, follow your brand voice, and fit your workflow. Custom fine-tuned models, RAG systems grounded in your knowledge base, and content generation pipelines that produce on-brand output at scale.
What We Build
Content Generation
Drafting, summarization, translation: on-brand content at scale with human review workflows built in.
Code Generation
Code completion, review, migration: accelerate your engineering team with AI that understands your codebase.
Conversational AI
Chatbots, copilots, voice agents: grounded in your data, not generic internet knowledge.
Document Synthesis
Report generation from structured data: automated briefings, summaries, and analyses at scale.
Fine-Tuning
Custom models on your domain data. Output that sounds like your team, matches your brand, follows your standards.
Prompt Engineering
System design for reliable outputs: prompt chains, guardrails, and evaluation frameworks for production quality.
How It Works
Use Case Scoping
Identify the highest-impact generative AI application, define success metrics, and assess data readiness.
Prototype
Build a working prototype with your data, test with real users, and iterate on quality and accuracy.
Production Hardening
Add guardrails, monitoring, compliance controls, and scale infrastructure for production workloads.
Where We Apply This
E-commerce & D2C
E-commerce at scale is a data problem disguised as a retail problem. We build recommendation engines, demand forecasting models, dynamic pricing systems, and commerce platforms that turn browsing into buying.
View industry →Media & Entertainment
Media companies compete on personalization, distribution speed, and monetization efficiency. We build recommendation engines that keep users watching, content management systems that scale, and ad tech that maximizes revenue per impression.
View industry →SaaS & Tech Products
SaaS companies need to ship AI features fast, scale infrastructure without downtime, and grow efficiently. We build the platform architecture, AI integrations, and growth systems that let product teams move at startup speed with enterprise reliability.
View industry →Banking & FinTech
Banks and fintechs need AI that scores risk in milliseconds, catches fraud without blocking good customers, and meets regulatory requirements without a 12-month compliance project. We build those systems.
View industry →Healthcare & Life Sciences
Healthcare teams run on fragmented systems, manual handoffs, and data that doesn't move between departments. We design AI-powered clinical workflows, patient engagement platforms, and data infrastructure that meets HIPAA requirements and ships into production.
View industry →Enterprise & Operations
Large organizations run on manual workflows, approval chains, and spreadsheets that should have been replaced years ago. We build operational AI: demand forecasting, approval automation, vendor management, and the data infrastructure that makes real-time decisions possible.
View industry →Frequently asked questions
Yes. We deploy on your infrastructure or private cloud instances. Your data never leaves your environment. No training on your data by third parties.
RAG architecture grounds every response in your actual documents. Confidence scoring flags uncertain answers. Citation requirements ensure traceability.
Depends on the task, cost tolerance, and latency requirements. We benchmark GPT-4, Claude, Gemini, and open-source models against your specific use case before recommending.
Ready to talk generative ai?
Custom LLM applications, fine-tuned models, and content systems, architected for production.