
Allstacks
Engineering intelligence with AI risk detection, delivery forecasting, and automated cost capitalization.

Overview
Allstacks: engineering intelligence that sees delivery risk weeks before the standup does
Allstacks, founded in Raleigh in 2017 by Hersh Tapadia and Jeremy Freeman, is a software engineering intelligence (SEI) and value-stream platform that connects the tools where delivery actually happens — Jira, GitHub, and the rest of the SDLC stack — and turns their combined signal into foresight. Its AI agents detect delivery risks weeks in advance, run root-cause analysis across disconnected tools, and forecast timelines with machine learning trained on the organization's own history.
The platform spans three product lines. Software Engineering Intelligence covers risk monitoring and productivity frameworks (DORA, SPACE, Flow) — including measurement of what AI coding tools are actually doing to delivery metrics. Product Studio is a requirements workspace grounded in code and delivery history. Software Cost Capitalization produces audit-ready R&D capitalization reporting without timesheets, a feature finance teams buy on its own.
Key Features
- AI delivery-risk detection weeks ahead, with cross-tool root-cause analysis
- ML delivery forecasting trained on historical SDLC data
- AI coding-tool impact measurement correlated with delivery outcomes
- DORA, SPACE, and Flow productivity frameworks built in
- Automated software cost capitalization — audit-ready, no timesheets
- Product Studio: requirements grounded in code and delivery history
Ideal Use Case
Engineering leaders at mid-size to enterprise software organizations who answer to a board on delivery dates and to finance on R&D spend. Allstacks gives CTOs early warning on slipping initiatives, gives product managers requirements grounded in reality, and gives controllers capitalization reports that survive an audit — from one data pipeline.
How Allstacks differentiates
In the SEI category alongside LinearB and Jellyfish, Allstacks stands out on three fronts: ML-based delivery forecasting rather than descriptive dashboards, the only automated cost-capitalization product bundled with engineering analytics, and new-in-2026 measurement of AI coding assistants' real delivery impact. It ranks #1 in G2's Development Analytics Tools grid with a 99% recommend rate, and has raised $38.3M — the Series A led by Quadri Ventures with M12, Microsoft's venture fund.
FAQ
What is Allstacks? A software engineering intelligence platform that connects Jira, Git, and other SDLC tools, then uses AI agents to flag delivery risks weeks early, forecast timelines, and measure engineering productivity.
How much does Allstacks cost? Pricing is not published; it is sales-led enterprise SaaS, also available through AWS Marketplace.
Can it measure whether AI coding tools help? Yes — it correlates AI coding-tool usage with delivery metrics so leaders can see the actual impact on throughput and quality.
How does the cost capitalization product work? It derives audit-ready software capitalization reporting automatically from SDLC activity, eliminating engineer timesheets.
tl;dr
Allstacks turns SDLC exhaust into foresight: AI risk detection weeks ahead, ML delivery forecasts, DORA/SPACE metrics, and audit-ready cost capitalization — engineering intelligence for leaders who own both dates and dollars.
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