Haystack is a real-time delivery analytics platform designed for engineering leaders like CTOs, VPs of Engineering, Directors of Software Engineering, and Engineering Managers. Haystack provides actionable insights that enable data-driven decision-making, aligning engineering performance with business objectives. Haystack platform integrates seamlessly with essential developer tools like GitHub and JIRA, offering a comprehensive view of team productivity and delivery efficiency.

Leading companies like AngelList, Shutterstock, Schneider Electric, and many more trust Haystack to optimize their development processes. By transforming historical Git data into objective insights, we help you identify bottlenecks and visualize trends, ensuring timely project delivery and sustained business growth. Our analytics dashboard allows you to monitor critical metrics such as cycle time, making it easier to spot inefficiencies before they escalate into costly delays.

Haystack helps engineering leaders to mitigate risks and improve workflow efficiency. With a unified view of the entire delivery lifecycle, you can track KPIs, compare performance trends, and make informed decisions that drive measurable outcomes. Our platform goes beyond merely measuring productivity; it equips you with the tools to foster continuous improvement and innovation within your teams.

Designed to scale with your organization, Haystack is the competitive advantage that data-driven engineering teams need to thrive. By leveraging analytics, you can transform your engineering operations, enhance collaboration, and accelerate your path to market success. Join top companies in harnessing the power of Haystack for a more efficient and effective engineering process.

The AI hallucination fix. Every AI hallucinates — and a single model cannot catch its own mistakes because the same neurons that generate hallucinations would need to detect them.

Triall's solution: three independent AI models from different providers answer your question in isolation, then:

1. Blind Peer Review — Models critique each other's answers anonymously, without knowing who wrote what
2. Adversarial Debate — Models refine and challenge through multiple rounds of structured debate (2-7 rounds)
3. Claim Verification — Factual claims are checked against live web sources in real time
4. Devil's Advocate — The surviving answer is stress-tested by a dedicated challenger looking for weaknesses

This 10-stage reasoning pipeline is built on published neuroscience research from Tsinghua University that identified the specific neurons (H-Neurons) causing hallucination. Fewer than 0.01% of neurons drive hallucination, sycophancy, and false confidence — and they form during pre-training and survive alignment unchanged.

Key features: - 120+ models available (OpenAI, Anthropic, Google, Meta, Mistral, and more) - Convergence detection and sycophancy guards - Over-compliance scoring - Meritocratic consensus synthesis - Multiple reasoning presets (Quick Check, Deep Research, Devil's Advocate, Creative Brainstorm, and more)

Free tier available. Plans from $15/month.