◈ What we build

Intelligence as a service.

Four capability areas. One mission: turn your data and workflows into compounding intelligence advantages — faster than your competitors can respond.

01 ◈

AI Strategy & Consulting

Define your AI roadmap before writing a single line of code.

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We embed with your leadership team to audit current workflows, identify high-leverage AI opportunities, and build a phased implementation roadmap that delivers ROI in 90 days — not 18 months.

What's included

→ AI readiness assessment across all business units
→ Competitive intelligence mapping in your sector
→ Custom model selection framework (build vs. buy vs. fine-tune)
→ ROI modeling for each identified opportunity
→ Phased 90-day implementation roadmap
→ Executive stakeholder alignment workshops

Deliverables

◎ AI Opportunity Report (50+ pages)
◎ Technical Architecture Blueprint
◎ 90-Day Roadmap with milestones
◎ Vendor & Model Evaluation Matrix

Book a Strategy Session

02 ◎

Product Integration

Ship AI features your users will actually love using.

We design and engineer AI-native product features — from intelligent search and copilot interfaces to autonomous agents and smart automation — built to production standards from day one.

What's included

→ AI feature design sprints (UX-first approach)
→ LLM integration (OpenAI, Anthropic, Google, open-source)
→ RAG pipelines with vector database architecture
→ Streaming UI with real-time response rendering
→ Function calling & tool-use orchestration
→ Observability, logging & cost monitoring

Deliverables

◎ AI feature with full test coverage
◎ API documentation & integration guide
◎ Cost optimization report
◎ Monitoring dashboard setup

Start Building

03 ▲

Scale & Optimize

Go from prototype to planet-scale without rewriting everything.

Performance engineering, cost reduction, and reliability hardening for AI systems already in production. We cut inference costs by 60–80% and make your AI stack bulletproof under real-world load.

What's included

→ Latency profiling & bottleneck elimination
→ Model distillation & quantization (4-bit, 8-bit)
→ Caching layers: semantic, prompt & response caching
→ Horizontal scaling with auto-scaling inference clusters
→ Multi-region deployment with failover
→ Cost attribution dashboards per feature/user

Deliverables

◎ Performance baseline & optimization report
◎ Optimized inference stack
◎ Auto-scaling infrastructure as code
◎ Cost monitoring & alerting system

Audit My AI Stack

04 ⬡

Custom Model Training

Your data. Your intelligence. Your competitive moat.

Fine-tuned and custom-trained models on your proprietary data. We handle everything from data curation and preprocessing to RLHF alignment and production deployment.

What's included

→ Data curation, cleaning & augmentation pipelines
→ Fine-tuning on GPT-4, Claude, Llama, Mistral architectures
→ RLHF alignment with human preference data
→ Evaluation harnesses with custom benchmarks
→ Model compression & quantization for cost efficiency
→ A/B testing infrastructure for model comparison

Deliverables

◎ Production-ready fine-tuned model
◎ Evaluation benchmark report
◎ Model card & documentation
◎ Inference API with monitoring

Discuss Your Dataset

Not sure which service fits your stage?

Book a free strategy call