Arthaa Labs
05 · product mock
05 / Horizontal Platform · Team Collaboration

CollabOS

A horizontal platform that brings AI-agent-native group collaboration to any domain where teams work on shared artifacts — starting with software (CodeMesh), then embedded design, legal review, research, and creative — with a common shared context, task allocation, and review infrastructure underneath.

Horizontal Platform Platform play — not just coding B2B SaaS · Enterprise Multiple domain verticals
"GitHub for agentic teams." The CodeMesh insight — shared agent context, conflict detection, team-level standards — is not specific to software. Build CollabOS as the horizontal engine; CodeMesh is the first vertical. Each subsequent vertical reuses the same core: shared memory graph, task allocation with conflict detection, multi-agent specialist review, human signoff. The coding vertical validates the platform; subsequent verticals prove it's a platform.
One engine, many verticals
Live

Software

CodeMesh — code review, conflict detect, team standards.
Vertical

Embedded / HW

SiliconMind — RTL/VHDL review, AUTOSAR flags, verification memory.
Vertical

Legal & compliance

Contracts vs policy, non-standard clause flags, 5 specialist reviewers.
Vertical

Research & science

Shared hypothesis graph, experiment-design conflict, shared rubrics.
Vertical

Creative & content

Shared brand-voice memory, conflict on competing creative directions.
SDK

Your domain

Implement Artifact / Decision / Conflict — CollabOS does the rest.
Interface Wireframe — Platform Control Plane
collabos.ai / org / acme / control-plane
CollabOS · Acme — Control Plane Live
VerticalsMemory graphReview pipelineSignoff rulesModels
4
Active domain verticals on the shared engine
38,200
Artifact nodes in the org knowledge graph
11
Items routed to human signoff today

Multi-specialist review pipeline

Security agent✓ parallel
Performance agent✓ parallel
Compliance agent✓ parallel
Style agent✓ parallel
Accuracy agent✓ parallel

Configurable per artifact type — same pipeline, code or contract or RTL.

Human signoff rules & model routing

Legal · contract signaturealways human
Code · payment logic > ₹1Lhuman
Legal review modelClaude
Code modelGemini
EDA review modeldomain fine-tune

Universal conflict detector — cross-artifact, semantic

Legal-agent draft of MSA §7 (liability cap ₹50L) conflicts with Finance team's approved policy node (cap ₹25L, Mar 2026)

→ Flagged before divergence · routed to human signoff · not a file lock — a semantic conflict

Core Platform Architecture
  • Domain-agnostic shared memory engine — any artifact as structured nodes with decision provenance
  • Universal conflict detector — semantic conflicts, not just file locking
  • Task allocation with context — work broken into agent-ready tasks with pre-loaded context
  • Multi-specialist review pipeline — security/perf/compliance/style/accuracy in parallel
  • Human signoff workflows — configurable routing per domain
  • Domain-specific model selection — best model per artifact type
  • Custom domain SDK — implement Artifact / Decision / Conflict to add a vertical
Competitive Landscape — Platform Level
PlayerCross-domainAgent-nativeShared contextMulti-domain review
GitHub / GitLab Code only Copilot add-on
Notion / Confluence AI search only Passive
Microsoft 365 Copilot
JetBrains Central Dev tools only
CollabOS ★ Any artifact type Built for agents Active conflict detect Specialist agents

Moats & Sequencing

  • Platform network effect — each domain adds to the memory engine
  • Domain SDK creates a partner ecosystem of vertical implementations
  • Knowledge graph compounds per organization over time
  • India GCC / professional-services wedge — large team sizes

Phased Customer Targets

  • Phase 1 — GCC engineering teams (CodeMesh)
  • Phase 2 — Law firms + legal teams (contract review)
  • Phase 3 — Pharma / biotech research teams
  • Phase 4 — Embedded/EDA (SiliconMind) · media / creative agencies