Yak Technologies
Build smarter systems.
AI, automation, and software for complex business operations.
What we build
Four capabilities, one system.
AI & Agents
Enterprise AI systems, intelligent agents, RAG, orchestration, workflow automation, and LLM-powered internal tools.
Software Engineering
Production-grade applications, APIs, integrations, distributed systems, and internal platforms.
Commerce & Financial Automation
Systems that connect commerce, payments, accounting, ERP, and operational workflows.
Technology Advisory
Architecture, AI strategy, technical leadership, systems modernization, and product engineering.
Products
We build and own products.
Not only client work — Yak Technologies incubates and operates its own software.
Financial intelligence for modern commerce.
Reconcile payouts, explain variances, automate accounting workflows, and turn fragmented commerce settlement data into financial intelligence.
AI-powered healthcare revenue intelligence.
Technology designed to identify revenue leakage, analyze healthcare claims and payment data, and surface actionable financial insights.
How we think
We build systems,
not demos.
AI is most valuable when it becomes part of real operational workflows — not a slide, not a proof of concept that never ships.
We combine software engineering, AI, data, and domain knowledge to build systems that are reliable enough to run real businesses.
Ask Yak
Describe the problem. We'll show you the shape of the solution.
We spend hours reconciling Shopify payouts against our ERP.
That sounds like a reconciliation workflow. We'd typically ingest settlement data, normalize transactions, reconcile them against your ERP clearing accounts, identify variances, and use AI to explain the exceptions.
Related product: YakLedgerOur operations team spends hours manually investigating exceptions.
This is a strong use case for an agentic workflow: deterministic systems handle the transaction logic while AI investigates ambiguous exceptions and presents recommended actions to operators.
Principles
Engineering first
Build systems that are maintainable, observable, and reliable.
AI where it matters
Use AI where reasoning creates leverage — not where deterministic software works better.
Operationally grounded
Technology should fit how people actually work.
Own the outcome
Architecture, implementation, deployment, and iteration are treated as one system.