Specs drift apart
Every squad's PRD is true in isolation. Nothing checks them against each other until the contradiction ships.
The product intelligence layer for AI-native teams.
Altha turns product conversations into a structured map of features and dependencies. It audits coherence in real time, and ships a clean spec to your coding agents.
The product intelligence gap
~1,000,000,000
hours U.S. product and engineering teams lose every year to misaligned decisions.*
20 hrs/week × ~200,000 U.S. PMs × 50 weeks = ~200M PM coordination hours. ~5M U.S. software developers × 4 hrs/week × 40 weeks = ~800M engineering rework hours. Sources: Pendo / UserJot, U.S. BLS, Standish Chaos Report.
01The problem
The bottleneck moved.
Code ships in hours now. Alignment still takes weeks. For the one PM running five squads, the cost of building moved from writing software to agreeing on what to build. The tools haven't followed.
Decisions evaporate
The call was made in a thread, a sync, a DM. Two weeks later nobody can find it. So it gets made again. Differently.
Dependencies surprise you
Cross-team blockers show up in the sprint they break, not in the planning that should have caught them.
“Agreeing on what to build is the new bottleneck. The context you need is not in the codebase, it’s in people’s heads.”
Maggie Appleton, GitHub Next, 2026
02How it works
Conversation in. Structure out.
The chat is the doorway, not the product. What persists is the graph.
01 / Describe
Talk, or attach
Describe your product in conversation, or paperclip the PRDs you already have. Altha reads and structures them; it doesn't write them for you.
02 / Extract
Watch the graph emerge
Features become nodes. Cross-squad dependencies become edges, detected automatically and drawn live as you talk.
03 / Audit
Catch it before the sprint
Coherence checks across squads. Contradictions surface before they ship. Gap detection proposes the pieces nobody wrote down.
03The bridge
Specs to code. Bidirectional.
The full graph (features, dependencies, artifacts, audit results) exposed to Claude Code, Cursor, or any IDE over a live MCP server. Your agents don't just read the spec graph. They keep it true.
ALTHA MCP · 14 TOOLS
$ claude mcp add altha✓ connected · per-user key · writes: pro+
# read get_project_graph get_feature_context_bundle search_features get_dependencies … 4 more
# write create_feature update_feature create_dependency … 3 more
“Product intelligence as infrastructure.”
The graph your team keeps true is the context your agents run on. Describe your product, and watch it build itself.