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Catch what others miss. Resolve in minutes, not days.

The engineering intelligence platform. Surface issues early, then resolve with cross-system context - 10× faster.

Built by a team from some of the world's largest platforms - Revolut · Citymapper
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0×
Faster Investigations
0%
False Leads Eliminated
0 min
Median Time to Root Cause
The Problem

Your engineers are data janitors, not problem solvers

01 - Speed

Investigations are painfully slow

Root cause analysis requires manually searching 10+ services and coordinating committees of specialists across teams.

0%
of engineering time spent on data coordination
02 - Knowledge

Knowledge is siloed and tribal

Critical context lives in people's heads. Fixes go undocumented. New engineers learn only by shadowing veterans for months.

Months
to onboard new engineers via shadowing
03 - Fragmentation

Systems don't talk to each other

Project tracking, observability, CAD, factory data - each in separate worlds, requiring engineers to play translator.

0+
data streams cross-referenced per incident
How It Works

One platform that already knows your entire stack

Phase 01

Connect your systems

Plug in observability, repos, ticketing, and your knowledge base. Because reads them like a senior engineer would.

Phase 02

Trigger an investigation

Ask in natural language — "why did checkout fail at 14:02?" The agent searches logs and traces like a developer would.

Phase 03

Get the root cause

Structured analysis, evidence-backed, with a recommended fix. Hand it to the on-call engineer and ship.

# oncall-incidents investigation #4f1c8e
Phase 01 Because connected to
Datadog GitHub PagerDuty Jira Confluence
Phase 02
AR
Alex R. 14:02
@because checkout p99 just spiked — 502s across the board last 10m. eyes?
B
Because APP 14:02
On it — investigating checkout 502s spike, last 10m
[14:02:31] scanning 47 services across 3 clusters…
[14:02:34] anomaly detected · svc-checkout latency p99 ↑ 4.2×
[14:02:36] correlating with recent deploys (last 2h)
[14:02:38] ⚠ suspicious: PR #2847 changed connection-pool sizing
[14:02:40] verifying against trace_id=4f1c8e
[14:02:42] ✓ confirmed: pool=8 (prev 24) → exhaustion at 14:00:12
[14:02:44] ✓ 47 events explained · 0 false leads
Phase 03
Root cause PR #2847 introduced pool exhaustion under load
Fix revert PR #2847 or set pool ≥ 24
resolved in 2 min 47 s · evidence attached
Use Cases

Built for teams that can't afford downtime

Debug the full stack - hardware through software

  • →
    Field-failure-to-factory correlation
    Trace a returned unit back to a specific batch or process
  • →
    Fleet anomaly detection
    Spot drift across thousands of deployed devices
  • →
    Always-on root cause analysis
    Continuously triage incidents across every layer of the stack
  • →
    Tribal knowledge capture
    Turn senior engineers' fixes into reusable institutional memory
Integrations
Support & Tickets
PLM Systems
Project Tracking
Code Management
Observability
Factory & Yield
Device Telemetry
Docs & Knowledge
The Team

Built by engineers who lived the problem

Chiraayu Sethi

Co-Founder & CEO
  • →
    Revolut · Product Leader
  • →
    Citymapper · PM, Revenue
  • →
    Serial entrepreneur
Chiraayu Sethi and Joao Leal, co-founders of Because

Joao Leal

Co-Founder & CTO
  • →
    Revolut · AI Leader
  • →
    Screenloop · Co-founder (acquired)
  • →
    Engineer turned founder

Stop investigating. Start resolving.

See how Because cuts incident investigations from 4+ hours to 5 minutes.

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