An AI development company that ships, from strategy to production.

It depends on scope. A focused proof of value or chatbot can start in the low tens of thousands; a production generative AI or agentic system with integration, evaluation and MLOps is larger. We scope and price up front after a short discovery, and always recommend the smallest thing that proves value first.

A strategy sprint runs 2 to 4 weeks. A first production use case typically ships in 8 to 16 weeks depending on data readiness and integration. We work in short iterations so you see working software early rather than at the end.

Generative AI (LLMs) creates text, code or images and powers copilots and RAG search. AI agents go further, planning and taking actions across your systems with guardrails. Traditional machine learning predicts, classifies or scores from your data. Most enterprise programs use a mix, and we score each use case to pick the right one rather than defaulting to the newest.

Yes. Our AI strategy consulting scores every initiative on ROI, feasibility and risk and hands you a prioritized, costed roadmap. Because we also build, every recommendation carries an engineer’s estimate, and we will tell you when to buy or wait rather than build.

Yes. We build retrieval-augmented generation (RAG) pipelines on vector databases such as Pinecone, FAISS, pgvector, Weaviate and Qdrant, and we fine-tune open and hosted models where it improves accuracy, cost or control. We start with RAG and prompt engineering and fine-tune only when the evidence justifies it.

Governance is designed in, not bolted on: risk classification per use case, human-in-the-loop rules, evaluation and monitoring for drift and bias, and documentation aligned to the EU AI Act, ISO/IEC 42001 and NIST AI RMF. For regulated data we build to HIPAA, GDPR and SOC 2 controls, and we hold ISO 27001 and CMMI Level 3.

Yes, it is our deepest specialization. Our healthcare AI consulting and delivery work comes from the practice that has built EHR, imaging, interoperability and remote-monitoring systems for 16+ years, covering clinical documentation, coding, imaging AI and HL7/FHIR data readiness with FDA and HIPAA awareness.

Yes. AI integration is core to what we do. We connect models and agents to your applications, data platforms, CRMs, ERPs and APIs, and we are technology-agnostic across OpenAI, Anthropic Claude, Google Gemini, Meta Llama, AWS, Azure and Google Cloud.

Yes. You can engage us for a fixed-scope build, a dedicated AI and ML team that works as an extension of yours, staff augmentation for specific skills, or build-operate-transfer. You own all code, models and IP.

Real estate and AI fit well wherever teams handle high volumes of listings, leads and documents. The real estate AI we build includes property valuation and pricing models, lead scoring, automated extraction from leases and contracts, and virtual assistants that answer buyer and tenant questions, all integrated with the CRM and listing systems you already use.