Service
AI Solutions
Generative and applied AI built for production — custom LLMs, RAG pipelines, intelligent agents, and complete automation of your workflows so your team can focus on growth.
What we build
Core AI offerings
Custom agents, AI-native product builds, and intelligent stack transformation — each scoped end-to-end with measurable outcomes.
Generative & applied AI — LLM apps, agents, and full work automation
Service 01
Custom AI Agents & Automation
From single agent to multi-agent systems — built for production.
Your workflow
Docs · Data · Ops
Agent design
Memory · Tools · Gates
Integrate
APIs · Stack · Auth
Live in prod
Monitored · Handed off
We design, build, and deploy AI agents that take over the repetitive, manual, and decision-heavy work slowing your team down. Built to integrate with your existing systems and operate reliably at scale.
- Multi-agent orchestration and workflow design
- Document intelligence and data extraction pipelines
- RAG systems, LLM integration, and tool-use agents
- Human-in-the-loop gates on every critical decision
- Production deployment and team handoff
- DOCUMENT AI
- LLM AGENTS
- RAG
- AUTOMATION
Recent outcome
80%
reduction in analyst time on document-heavy credit workflows
Service 02
AI-Native Product Builds
Greenfield products built AI-first — shipped in weeks, not quarters.
Idea & scope
PRD · Architecture
AI-native SDLC
Build · Test · Review
QA & staging
E2E · Security · Docs
Production MVP
3–4 weeks · Yours
We build complete products end-to-end — web, mobile, AI-native applications. Our AI-native SDLC means parallel workstreams, faster review cycles, and fewer bottlenecks at every stage.
- Full-stack product architecture and system design
- AI agent and LLM integration built in from day one
- QA, testing, and production deployment included
- Post-launch support and iteration retainers available
- FULL-STACK
- AI-NATIVE SDLC
- SAAS
- MVP → SCALE
Typical delivery
3–4 wks
from kickoff to production-ready MVP — what traditional agencies quote at 3 months
Service 03
AI Integration & Stack Transformation
Take what exists. Remove the manual layer. Make it intelligent.
Existing stack
Product · Ops · Data
AI opportunity map
ROI · Priorities · Plan
AI layer built
Agents · Models · Pipelines
Intelligent stack
Same tools · 10× faster
We help you transform your existing stack — adding AI where it matters most. Audit, prioritize, integrate, and ship an intelligent layer on top of what already works.
- AI opportunity mapping and architecture review
- LLM and agent layer integrated into existing products
- Legacy workflow re-architecture around AI
- Data pipeline and model infrastructure setup
- AI STRATEGY
- STACK INTEGRATION
- RE-ARCHITECTURE
- OPS AUTOMATION
Recent outcome
5d → 1d
month-end close after rebuilding a fintech's reconciliation stack around AI agents
The AI-native SDLC
Five roles, three human gates, one production-grade output — all working in parallel so you ship faster without cutting corners.
- 01Discover
- 02Architect
- 03Build
- 04Test
- 05Ship
Selected node
Architect
System design
HumanHuman expertise drives technical direction.
What it does
Reads PM Agent specs → defines system architecture, tech stack, DB schema, service boundaries → produces ADRs & C4 diagrams → unblocks Dev Agent on blockers.
Stack / tools
- C4 Model
- Mermaid
- ADR
- Figma
- System prompts
Human touchpoint
Fully human-owned. AI may assist with diagrams but decisions are human-led.
Under the hood — tap any role above to see how agents and humans collaborate at each stage.
What's included
- Generative & applied AI systems
- Custom LLM applications
- RAG & vector search pipelines
- AI agents & end-to-end workflow automation
Tech we use
- GenAI
- LangChain · LlamaIndex · OpenAI · RAG · Pinecone · Hugging Face
- Stack
- Python · FastAPI · PostgreSQL · Redis
Ready to start your ai solutions project?
Book a free call — we'll scope it together and ship with clarity.