Measure and improve AI reliability through evaluation datasets, RAG testing, hallucination analysis, LLM-as-a-judge workflows, safety checks, regression testing, and production quality monitoring.
We evaluate generative AI applications, assistants, RAG systems, and AI-enabled product features against defined business and quality criteria. Engagements may include evaluation strategy, golden datasets, human review, LLM-as-a-judge, factuality and faithfulness checks, relevance, safety, consistency, retrieval quality, tool-use validation, and regression testing. Frameworks such as Ragas, DeepEval, and LangSmith can be used where appropriate. The outcome is a repeatable evaluation process that helps teams compare changes, detect regressions, and make better release decisions for nondeterministic systems.
Core objective: Repeatable evaluation benchmarks to measure and ensure AI accuracy, safety, and stability.
Tell us about your requirements and we will review them within 24 hours.
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Automated Playwright testing, CI/CD validation, and risk analysis are built into delivery from day one.
Clean architecture and well-documented APIs designed to scale with your business without tech debt.
Design, build, and evolve custom digital products tailored to your workflows, users, and growth goals - from discovery and architecture through launch and ongoing improvement.
Integrate generative AI, intelligent assistants, and automated workflows into existing products and operations to reduce manual work, improve decisions, and create measurable business value.
Modernize legacy applications, improve architecture and user experience, expose reliable APIs, and prepare existing systems for cloud, automation, integrations, and new AI capabilities.
Build secure, responsive, and scalable web applications for customers, employees, and partners, supported by robust APIs, thoughtful user experience, automated testing, and maintainable architecture.
Create customer and workforce mobile applications with consistent user experience, dependable backend integration, cross-device testing, analytics, release support, and a scalable product foundation.
Validate a product idea through focused discovery, rapid prototyping, prioritized development, built-in quality practices, and a production-ready MVP designed for learning and future iteration.
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Have an idea, need architecture advice, or want to scale an existing system? Tell us about your goals and our engineering team will get back to you within 24 hours.