AI applications, SaaS, and internal tools — from concept to operation. An AI-native development stack delivers production-grade implementations in short cycles. Monthly retainer contracts available, with team scaled flexibly to scope.
Interview-driven decomposition (÷) of the problem. Clarify goal, success metric, and scope.
Working PoC built early. Tangible enough to make trade-off decisions before locking the production design.
Quality, security, and operational load are designed in parallel as we ship to production.
Continued partnership on retainer. Monthly feature additions (+) driven by real usage data.
From basic process efficiency through complex data platforms and RAG systems — we cover a broad range of AI implementation themes.
A RAG platform built on hybrid search (vector + keyword) with re-ranking, designed for technical documentation, contracts, and specifications. Access permissions, update operations, and answer audit logs are all part of the design.
Multimodal search across CAD drawings, on-site photos, and technical specs, plus auto-generated reports. Substantially raises the decision-speed of manufacturing operations.
AI agents that autonomously coordinate across CRM, email, and SaaS APIs. We carry prompt management, tool permission boundaries, and cost optimization into a real operating design.
DWHs (BigQuery / Snowflake) extended with vectorized meeting notes, emails, and PDFs. Text-to-SQL lets the business side query in natural language.
Auto-extracts clauses from contracts and policies, detecting risky terms and deviations from your standard templates. Substantially reduces first-pass review time. Internal-policy compliance checks included.
From sales-call recordings to meeting notes to proposal drafts to CRM updates — fully automated. Drives sales-ops effort close to zero while accumulating institutional knowledge.
These are representative themes. We also take on custom development matched to your business. Detailed estimates are shared on the first call.
Quote breakdowns, failure patterns, and the conditions for shipping PoCs to production — written from the field.
Production requirements, investment-decision metrics, and operations preparation — the three conditions baked into PoC design from day one.
Read moreObvious ROI × low damage on failure × data exists × internally ownable. Where mid-sized companies should actually start.
Read moreThe four-phase order we use in engagements. New business launches go fatally late when the sequence is wrong.
Read moreShare the outline of the problem, what you want to achieve, and your budget range. The first call is free, with a briefing deck delivered in advance.
Request a 30-min sounding-board call