Nov 1337 Labs, Inc.

Local-first AI workspace for infrastructure operations

Nov 1337 Labs, Inc. builds Clanker Cloud, an AI Workspace for infrastructure operations.

Clanker Cloud connects cloud providers, Kubernetes clusters, GitHub, CI/CD, observability, cost signals, docs, tickets, and MCP-capable agents into one local-first desktop workspace where humans and AI agents can ask questions, inspect live context, review plans, and approve execution. As we grow, Clanker Cloud will move toward becoming a neocloud for approved infrastructure, AI, and agent workloads.

Try the public beta Contact us View Clanker Cloud
Product

Our product: Clanker Cloud

Clanker Cloud is a local-first AI Workspace for infrastructure operations. It is a desktop app that lets teams ask plain-English questions about live environments, inspect topology and cost signals, review change plans, and explicitly approve execution from one operating surface.

  • Ask live infrastructure questions across cloud and Kubernetes
  • Inspect topology, dependencies, exposure, and runtime context
  • Analyze logs, deployments, cost signals, databases, and incidents
  • Keep credentials local with BYO AI keys and review-first execution
  • Expose a local MCP workspace for Codex, Claude Code, OpenClaw, Hermes, and custom agents
  • Support AWS, GCP, Azure, Tencent Cloud, Kubernetes, Cloudflare, GitHub, Vercel, Supabase, Railway, Fly.io, Hetzner, DigitalOcean, Verda, Sentry, Datadog, and BYOK model providers
Infrastructure

How we use Google Cloud and AI

Nov 1337 Labs plans to use Google Cloud to run AI and infrastructure automation workloads for Clanker Cloud, including agent orchestration, telemetry processing, secure workload execution, customer workspaces, and AI-assisted infrastructure workflows. The core Clanker Cloud workflow remains local-first: customer cloud credentials, model keys, and production approvals stay under operator control. We plan to evaluate Gemini and Vertex AI for infrastructure reasoning, log and cost analysis, remediation planning, Deep Research-style infrastructure scans, and agentic workflow generation.

Services and research

FDE services, evals, and neocloud

Nov 1337 Labs also provides FDE services for teams that need hands-on help fixing, stabilizing, and improving infrastructure. We work directly with teams on cloud, Kubernetes, deployment, cost, reliability, and AI infrastructure problems while using those lessons to improve Clanker Cloud.

  • FDE services Hands-on infrastructure investigation, remediation, rollout support, cost reduction, reliability work, and production hardening.
  • Frontier model evals Systems engineering workflow evals for frontier models, including cloud topology reasoning, Kubernetes incidents, deployment risk, logs, cost, remediation planning, and agentic execution.
  • Clanker Cloud neocloud We plan to build a neocloud for Clanker Cloud so teams can run approved infrastructure, AI, and agent workloads on a managed compute layer connected to the local-first workspace.
Company

Company

Nov 1337 Labs, Inc. is a technology startup founded in 2026. We are building developer infrastructure products for the next generation of human and AI-assisted software operations. The company has raised a $265,000 pre-seed round from angel investors to build Clanker Cloud.

Legal name
Nov 1337 Labs, Inc.
Brand/product
Clanker Cloud
Founded
2026
Stage
Pre-seed, $265,000 raised from angel investors
Location
United States company, globally distributed team
Website
novlabs.ai
Product
clankercloud.ai
Founders

Team

Bogdan Novykov - Co-founder & CEO

Engineering leader and technical influencer on X/Twitter with full-stack, DevOps, cloud, and ML background; worked across Silicon Valley startups and European enterprise environments building production cloud and AI systems.

LinkedIn X/Twitter GitHub

Nash Rafeeq - Co-founder & CTO

Engineering leader and experienced systems architect; worked on OpenAI strategic partner infrastructure via Samsung SDS, scaling Kubernetes inference clusters, GPU optimization, automation, and observability for frontier model workloads.

LinkedIn
Status

Traction and status

  • $265,000 pre-seed raised from angel investors
  • Desktop app builds available for macOS, Windows, and Linux
  • Open-source Clanker CLI
  • Public beta launched, with active users providing product feedback
  • FDE services available for teams that need help fixing infrastructure
  • Frontier model evals for systems engineering workflows
  • Planning a Clanker Cloud neocloud for approved infrastructure, AI, and agent workloads
  • Building for founders, DevOps teams, platform engineering, SRE, AI researchers, and agent-driven infrastructure workflows
View GitHub repo View product page
Contact

Contact

[email protected] [email protected]