Tenhaw provides an AI‑powered platform that embeds directly into software development workflows to deliver real‑time delivery intelligence. It uses predictive analytics to forecast delivery dates, assess risk, and calculate the monetary value of work items, giving engineering teams transparent, data‑driven insights for more predictable and value‑focused delivery.
Funding
Funding not disclosed
Founders
Product
Problem
Software delivery teams often struggle with opaque workflows, difficulty measuring the monetary value of work, unpredictable delivery timelines, and limited feedback loops, leading to missed deadlines and inefficient resource use.
Solution
Tenhaw offers an AI‑powered platform that integrates directly into existing development workflows to provide real‑time delivery intelligence. The system applies predictive analytics to forecast delivery dates, assess risk, and quantify the financial impact of each work item. By enforcing four core principles—radical transparency, value measured in currency, predictable delivery, and continuous feedback—the tool surfaces actionable insights on every ticket. Teams can embed AI “workers” that automatically surface risk alerts, suggest value‑optimizing adjustments, and track progress against forecasts. The platform’s dashboards and reporting make outcomes measurable, enabling engineering leaders to make data‑driven decisions and improve delivery reliability.
Target Audience
Primary customers are software engineering teams, product managers, and agile coaches in mid‑size to large enterprises seeking to improve delivery predictability and value measurement.
Features
- AI-driven forecasting and risk prediction for individual tickets and overall project timelines
- Automatic calculation of work item value in monetary terms to align effort with business outcomes
- Real‑time transparency layer that surfaces metrics and status directly within the team's workflow tools
- Feedback loop mechanisms that capture post‑delivery data to continuously refine predictions
- Integration hooks for common development and project management platforms, allowing seamless embedding of AI assistants
- Dashboard and reporting suite that visualizes delivery confidence, risk heatmaps, and value metrics