Generative AI, engineered for production.
LLM applications, RAG pipelines, AI agents, and content automation built for you by forward-deployed engineers — grounded in your data, integrated with your systems, and reliable enough to run your workflows.
Part of
AI & Intelligent Automation
Built on
AI Chatbot Development · AI Solutions
Ships in
2–6 weeks · fixed scope · you own it
What our generative AI services cover.
LLM application development
Custom applications powered by Claude, OpenAI, and open models — built for your specific use case.
RAG pipelines
Retrieval-augmented generation over your docs and data, so outputs are accurate and current — not model guesswork.
AI agents
Multi-step agents that plan, use tools, and act across your systems with human oversight.
Content & document generation
Drafting, summarizing, and transforming at scale — replies, reports, briefs — in your voice and format.
Model integration
The right model per task — frontier or open, cloud or private — behind one clean integration.
Evaluation & guardrails
Testing, monitoring, and guardrails so quality holds in production, not just in the demo.
Built for you, the forward-deployed way.
A senior, AI-augmented engineer embeds with your team, builds on your existing stack, and hands over production-grade software you own.
01
Scoped in 30 minutes
One call with an engineer — not a sales rep — and a fixed-price quote within 48 hours.
02
Working software in week one
AI-native build speed means you see a real, working version fast — and shape it with us daily.
03
Production-grade & owned
Secure, scalable, deployed in your accounts. All code and IP are yours, with no lock-in.
CASE STUDIES
Real interfaces, built on real SaaS
Speed
Customer Success
Speed CSM & Engagement Platform
Internal CS console plus wallet-native engagement games that pay real sats to eligible users
Speed
Fintech
Bank Deposit Guardian
Real-time monitoring, alerting & analytics for bank virtual-account deposits.
The right models and pipeline for the job.
Claude
OpenAI
Llama
RAG
Vector search
LangChain
Your data
+ Your stack
FAQ
Common Questions.
Specific to generative AI services.
What are generative AI services?
Engineering services that build applications on large language models — chatbots, agents, RAG systems, content automation — applied to real business workflows. The engineering that matters is grounding (RAG), integration, and reliability, which is where demos usually fail.
What is RAG and why does it matter?
Which models do you work with?
Is our data used to train models?
How do you make generative AI reliable?
How is this different from hiring a traditional AI agency or freelancer?