/ why allstacks /

Anyone can prompt an LLM. Only we have the context to make it right.

7+ years of normalized engineering context — the moat behind every Allstacks product. Start anywhere below.

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/ The new bottleneck /

AI made writing code 5× faster. It just moved the bottleneck upstream.

The hard part isn't typing anymore — it's knowing what to build, in what order, grounded in what already exists. When every tool holds a different slice of the truth, your AI is guessing. Disconnected data in, generic output out.

/ the problem /

Disconnected data and signals

Connecting your tools and pointing an LLM at them moves your data into one place without the causal links that tie it together: a strategy to a ticket, a ticket to a commit, a commit to the sprint it ships in. Missing those links, your agents:

Burn tokens circling the data and hit context-window limits

Hallucinate to fill the gaps the links would have closed

Build the wrong things you have to rework

/ the solution /

Enriched, meaningful signals

The Allstacks Context Graph is a normalized data layer that maps the causal and temporal relationships across every tool in your product and software development lifecycle. It effectively encodes relationships between data points, so Allstacks agents:

Efficiently traverse your data at 25% of the cost

Provide more accurate findings and outputs

Create the things you intended with less rework

/ Four reasons teams switch /

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The Context graph

7+ years of normalized delivery data, the moat competitors can’t fake in a year.

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Allstacks vs. DIY-in-Claude

Yes, you could build it yourself. Here's what breaks in six months.

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Integrations

30+ native connections across the tools your team already lives in.

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Customer stories

3× velocity, 32% faster cycle time, 70% less capitalization preparation.

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/ how it works /

One graph underneath  every product.

Product Studio, Software Engineering Intelligence, and Cost Capitalization all run on the same Context Graph — a normalized, classified, enriched layer over your entire stack. That shared substrate is why the answers are grounded, not generic.

How it works

Soft pastel sky with faint clouds and star constellations connected by lines.

/ Allstacks vs. building it yourself /

Sure, you could build this in Claude. Here's what happens in six months.

Every prospect is wiring up their own agent against Jira and GitHub. It demos great. Then the context windows blow out, the connectors rot, and a new model release means rebuilding the whole harness. The AI was never the hard part.

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