AI helps you work.
Revlio understands how you work.
Knowledge workers lose 8.2 hours every week to context recreation. Revlio captures the craft of your AI-assisted work, compounding your intelligence before it erodes.
Works with your tools
Impossibly productive.
But what did you actually do?
You shipped fast. But the decisions, trade-offs, and craft behind it — that’s already fading. Revlio makes sure it doesn’t.
How it works
Your intelligence, compounding
Capture
Capture the craft
Sarah is writing her third product spec this quarter. Revlio is silently capturing her decisions, trade-offs, and the reasoning behind each choice — not just the output.
Graph Activity
3 methods synthesized overnight
Last scored 6h ago · Tier 1
1 resurrection candidate
Build
Build the graph
While Sarah slept, Revlio's consolidation cycle scored her knowledge, decayed stale insights, and discovered that her Q1 competitive analysis connects to yesterday's pricing discussion.
Suggested Playbook
Spec-First Development (confidence: 0.91)
- 1. Define the job-to-be-done in one sentence
→ You have 3 user research sessions to draw from
- 2. List 3 non-goals
→ Last spec had scope creep — this step prevented it
- 3. Write the API contract before UI
→ Engineering approved this approach in Sprint 14
- 4. Get eng sign-off before design
→ Applied 11 times, 9 shipped on schedule
Surface
Surface the intelligence
Sarah starts her spec and Revlio recognizes the pattern. It doesn't just remind her she has a method — it scaffolds the approach with current context. Her past work accelerates her future work.
Re-entry Brief · Auth Refactor
Last State (12 days ago)
Decision: JWT over session cookies
Blocked on: rate limiter design (3 sketches, none committed)
What Changed
- • You built a Redis caching layer in analytics (5d ago)— resolves the “Redis vs Postgres” open question
- • API versioning shipped — affects auth endpoint design
Suggested Re-entry
- 1. Review rate limiter sketches (Session #67)
- 2. Apply Redis pattern from analytics
- 3. Update API contract for versioning
Welcome back
The re-entry moment
After two weeks on a different project, Sarah returns to the auth refactor. Instead of spending 30 minutes re-reading old notes, Revlio reconstructs exactly where she left off — including what changed while she was away.
Your intelligence should compound, not erode.
Intelligence for every role
Built for how you actually work
Before your board meeting, Revlio scaffolds your proven prep method — pull metrics, draft the narrative, frame the ask. Applied 3 times. Average prep: 2.1 hours.
After two weeks on product, you return to fundraising. Revlio: "MRR crossed $50K since you left. 2 investor follow-ups pending. Your pitch deck was updated with new competitive data."
The thesis
The industry is solving for AI memory. The real crisis is human cognition.
AI memory solves “does the AI remember me?” Revlio solves “does my intelligence compound?” Those are different problems. The first is a feature. The second is a product.
$1.8T
Lost annually to knowledge erosion
8.2 hrs
Per week per worker re-finding context
62%
Of AI memories contain errors
AI Memory Products
- "Does the AI remember me?"
- Stores more data
- Serves the AI's context
- Single tool
- Retrieval technique (moat)
Revlio
- "Does my intelligence compound?"
- Intelligence compounds over time
- Serves the human's understanding
- Cross-tool knowledge graph
- The graph is the moat
The moat isn't memory. The moat is the graph.
Your knowledge stays yours
Private by architecture, not policy
Device-native
Everything runs on your Mac. LadybugDB, MLX, nomic-embed — all local.
Encrypted at rest
Your graph is encrypted via SQLCipher. No one reads it but you.
No cloud required
Your data never leaves your machine unless you choose to share it.
You control sharing
Share methods with your team only when you choose to.
Your intelligence, compounding.
Better AI memory makes Revlio more valuable, not less.
macOS (Apple Silicon) · Windows and Linux coming soon