How 2025 took AI from party tricks to production tools
AI reasoning models like DeepSeek-R1, agentic coding tools like Claude Code, and image generation with Nano Banana Pro set daily software engineering standards.
production-ready through
Independent evaluation and training for the AI agent ecosystem. Real-world complexity through simulation environments where agents face multi-hour tasks.
Talk to FounderLarge-scale RL datasets with tuned difficulty distributions. Cheat-proof reward functions. Teach skills scarce in public data (e.g. dependency hell, distributed system debugging).
Measure quality and uncover blind spots. Pick optimal models, tune prompts in a fast-changing world. Benchmark against competitors. Win deals and deliver on performance promises.
Independent verification of what actually works. Design processes based on real capabilities, not marketing hype. ROI-driven deployment decisions. Move from FOMO to measurable P&L impact.
Explore our research on AI agents, benchmarking, and evaluation
AI reasoning models like DeepSeek-R1, agentic coding tools like Claude Code, and image generation with Nano Banana Pro set daily software engineering standards.
Standardizing AI agent evaluation with Harbor: an open-source framework for reproducible benchmarks, reinforcement learning, and collaborative evals.
Comparing Google Antigravity and Claude Code for AI-assisted workflows, and why custom Claude Skills might be the better approach.
The Quesma database gateway IP has been acquired by Hydrolix to ensure continued support.
Read the announcement.