We build custom LLMs, RAG pipelines, and multi-agent AI systems that give your business real, measurable intelligence — not generic AI tools off a shelf.
We design and ship AI systems tuned to your domain, your data, and your users — not generic plug-and-play wrappers.
We fine-tune GPT-4, Claude, Llama 3, and Mistral on your proprietary data — making AI that speaks your industry language, follows your policies, and outperforms generic models on your specific tasks. Domain-specific accuracy that generic APIs simply cannot match.
AI that knows your entire knowledge base — documents, databases, wikis — and answers with perfect accuracy. No hallucinations. No outdated info.
Networks of specialized AI agents that collaborate — researcher, planner, coder, reviewer — to solve complex problems no single model handles well.
We audit your operations, identify where AI creates the most leverage, and build a prioritized roadmap — so you invest in AI that moves the needle, not shiny demos.
We embed AI capabilities directly into your existing software stack — CRMs, ERPs, communication tools — with production-grade APIs and seamless UX.
Red-teaming, adversarial testing, hallucination detection, and output monitoring — we make sure your AI stays accurate, safe, and aligned with your guardrails in production.
A proven four-phase process that gets your AI live, measurable, and improving over time.
We map your highest-value AI use cases, assess data readiness, define success metrics, and eliminate the 80% of AI ideas that won't move the needle.
We choose the right foundation model, design the system architecture, plan integrations, and create a full technical spec before writing a line of code.
We develop and fine-tune the AI on your real data, run evaluation benchmarks against your baseline, and iterate until performance targets are met.
Production rollout with full observability — latency dashboards, accuracy tracking, cost monitoring, and automatic alerts when outputs drift.
From AI-powered SaaS platforms to high-traffic e-commerce stores — real projects, built by Haxantech and live for clients worldwide.
AI product recommendation engines, intelligent search, dynamic pricing, and customer service agents that increase AOV and reduce support costs by 60%.
Clinical note summarization, drug interaction checkers, diagnostic assistance, and patient intake automation — compliant, accurate, fast.
AI document analysis for due diligence, fraud pattern detection, portfolio intelligence, and customer advisory chatbots trained on financial products.
AI copilots embedded in your product, smart onboarding flows, automated QA, and developer assistant tools that improve retention and NPS.
Both — depending on what delivers the best ROI. For most use cases, fine-tuning a frontier model (GPT-4o, Claude, Llama 3) on your data is faster and cheaper than training from scratch. We recommend pre-training from scratch only when you have 10B+ tokens of proprietary data and strict data sovereignty requirements. We'll help you make the right call in the discovery phase.
We use RAG (Retrieval-Augmented Generation) to ground AI answers in verified sources rather than model memory, implement confidence scoring to flag uncertain outputs, add human-in-the-loop checkpoints for high-stakes decisions, and run automated hallucination detection benchmarks in CI/CD. In production, we monitor output quality continuously and alert on drift.
Most engagements run 8–16 weeks: 2 weeks of discovery and architecture, 4–8 weeks of build and fine-tuning, 2 weeks of evaluation and hardening, then production deployment. We also offer ongoing retainers for model monitoring, retraining, and new feature development. Scope and timeline depend on complexity — we'll give you a detailed estimate after the discovery call.
We sign NDAs before touching any data. For sensitive industries (healthcare, finance, legal), we run models in your private cloud environment (AWS, Azure, GCP) with no data leaving your perimeter. We support HIPAA-compliant architectures, SOC 2-aligned development practices, and data anonymization pipelines. Your data is used to improve your AI only — never shared or used to train shared models.
Yes — that's where we spend most of our time. We build AI capabilities as APIs, webhooks, and SDKs that plug into your CRM, ERP, support platform, or custom internal tools. We've integrated AI into Salesforce, HubSpot, Notion, Slack, WhatsApp, custom Python/Node/PHP backends, and many more. If you use it, we can connect AI to it.
Free 45-minute strategy call — we'll map your highest-ROI AI opportunities, recommend the right architecture, and give you a realistic timeline and budget. No pressure, just clarity.