Generative AI & LLM Apps
Custom chatbots, copilots, content and summarization tools, RAG knowledge assistants over your company data.
A support copilot resolving 60% of tickets autonomously.
AI Development
AI that moves from prototype to production
We design, build, and deploy custom AI — LLM applications, autonomous agents, ML models, and intelligent automation — integrated with your real data and systems.
- From POC to production
- Your data stays yours
- Human-in-the-loop by default
Data
Pipelines · RAG · Vector
Models
LLMs · ML · Vision
Orchestration
Agents · Tools · Eval
Application
Copilots · Automation
Guardrails
Privacy · Audit · HITL
What We Build
Six ways we put AI to work
AI Agents & Automation
Multi-step agents that take actions across your tools — CRM, ERP, email, ticketing — with human-in-the-loop approvals.
An agent that triages, routes, and updates tickets.
ML & Predictive Analytics
Forecasting, churn and demand prediction, anomaly and fraud detection, scoring models.
Demand forecasting that cuts inventory costs 18%.
Computer Vision & Docs
OCR, invoice and contract extraction, image classification, quality inspection.
Invoice extraction at 99% accuracy.
Recommendation & Personalization
Product, content, and next-best-action recommendation engines.
Next-best-action that lifts conversion 22%.
AI in Existing Products
Add AI features to your current SaaS, web, or mobile app via APIs and SDKs.
An embedded copilot inside your existing SaaS.
Our Approach
AI delivery, de-risked
01
AI Opportunity Assessment
1–2 weeksWe identify your highest-ROI use cases against business goals.
02
Data Readiness & Architecture
1–2 weeksWe assess data quality and design the AI architecture.
03
Rapid Prototype (POC)
2–6 weeksA working prototype to validate value in weeks, not months.
04
Production Build
6–12 weeksWe engineer a secure, scalable, production-grade system.
05
MLOps / LLMOps & Monitoring
OngoingContinuous evaluation, monitoring, and guardrails in production.
06
Continuous Improvement
OngoingWe iterate based on real usage and feedback.
Responsible AI & Security
Trust, built in by design
We keep AI honest and your data protected — no fake certifications, just real practices.
Data privacy
No training on your data without explicit consent. Your data stays isolated and yours.
Access controls
Role-based access and least-privilege by default across every layer.
Hallucination safeguards
RAG grounding, output evaluation, guardrails, and human-in-the-loop for high-stakes actions.
Audit logging
Compliance-aware logging and traceability (GDPR/CCPA practices).
Models & Tools
The AI stack we work with
Foundational Models
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Llama
- Mistral
Orchestration & Frameworks
- LangChain
- LlamaIndex
- CrewAI
- AutoGen
Vector & Memory
- Pinecone
- pgvector
- Weaviate
- Qdrant
Cloud & Deployment
- AWS Bedrock
- Azure OpenAI
- Vertex AI
- Ray
Use Cases by Industry
AI tailored to your sector
Summarize this patient's last 3 visits
AI response
3 visits in 90 days. BP trending up. Last labs normal. Recommends follow-up in 2 weeks — flagged for clinician review.Engagement Options
Start where you are
01
AI Discovery Workshop
A focused session to map opportunities and prioritize use cases.
1–2 days · 1 team
02
POC Sprint
A fixed-scope prototype to validate value fast.
2–6 weeks · small squad
03
Full Build
End-to-end design, engineering, and deployment.
8–16 weeks · full team
04
Dedicated AI Team
A cross-functional AI squad embedded with you.
Ongoing · dedicated
Interactive
AI Project Scoper
Describe your idea and get a structured starting point — recommended services, a phased approach, a tech stack, risks, and a non-binding estimate. Powered by AI.
Responses are AI-generated and estimates are non-binding. Final scope and pricing come after a discovery call.
ai-project-scoper — terminal
FAQ
AI-specific questions
Typically 2–6 weeks depending on data readiness and complexity. We scope it tightly to validate value before scaling.
Never without your explicit consent. We default to your data staying yours, isolated, and used only for your solution.
Yes. We integrate AI via APIs and SDKs into your current SaaS, web, mobile, and internal tools.
RAG grounding, output evaluation, guardrails, human-in-the-loop for high-stakes actions, and monitoring in production.
It varies by scope. A POC sprint is far smaller than a full build — we give you a clear estimate after discovery.
Not always. Many LLM and RAG applications need little training data. We assess readiness and recommend the right path.
Let's find your highest-ROI AI use case.
Let's talk about your goals. The first call is free — and we reply within one business day.