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Centralized AI management, standards and tools in one place.

Create, manage and standardize AI usage across your teams, simply and securely.

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100+ AI Providers
1 Command
0 Lock-in
web-app — hubbound connected
▾ web-app
▸ src
▾ .hubbound kit · frontend
{} kit.yaml
▸ skills/ 8
▸ mcps/ 3
▸ hooks/ 4
▸ agents/ 2
▸ scripts/ 6
$ ▋
↳ 23 modules installed · 0 manual steps

// The Problem

AI adoption in software teams is total chaos.

Every developer uses different tools, different keys, different setups. Engineering leaders have zero visibility, zero control, and zero standards.

01

API Keys everywhere

Every developer hoards their own credentials — in env files, IDE settings, or a sticky note. Engineering leaders have no idea who has what, what each key costs, or how to revoke access when someone leaves the company.

  • Keys pasted in Slack DMs and PR descriptions
  • No way to revoke access when someone leaves
  • Invoices arrive as a surprise, with no budget tracking
01 API Keys everywhere
.env leaked?
1 OPENAI_API_KEY = sk-proj-•••••a3f9
2 ANTHROPIC_API_KEY = sk-ant-•••••b1c2
3 GOOGLE_API_KEY = AIza•••••mK7d
4 MISTRAL_API_KEY = sk-mst-•••••q8e1
5 COHERE_API_KEY = co-•••••x4z2
origin/main
02

No standardization

Each engineer rolls their own AI setup — different configs, different models, different conventions. Parity across the team is impossible, and what works on one machine breaks on the next.

  • Every dev configures Cursor, Claude or Cline differently
  • "Works on my machine" — now applies to prompts too
  • Onboarding a new hire takes days of manual setup
02 No standardization
A dev/anna config.yaml 
provider: openai
model: gpt-4-turbo
temperature: 0.7
max_tokens: 4096
tools:
  - search
  - exec
B dev/brian setup.json 
{
  "engine": "claude-3-opus",
  "context": 200000,
  "extensions": ["mcp"],
  "hooks": { "pre": "pre.sh" }
}
C dev/carla .env 
AI_PROVIDER=mixed
DEFAULT_MODEL=local
HOOKS_ENABLED=on
SCRIPTS_DIR=./bin/*
SKILLS_PATH=~/.ai/sk
03

Zero visibility on costs

AI usage is the fastest-growing line item in engineering budgets, yet most CTOs have no breakdown by team, project, or developer. There's no way to know who's overusing, what's idle, or what's worth paying for.

  • Provider dashboards don't map to teams or projects
  • Idle subscriptions discovered months later
  • No way to compare ROI across providers
03 Zero visibility on costs
Spend by team last 30d
Total $ ?????
By team ? ? ?
no visibility
04

Locked into your provider

Configurations, prompts, agents, hooks — everything you build is tightly coupled to a single provider's API and SDK. Switching from OpenAI to Anthropic isn't a config change; it's a multi-week rewrite of every workflow your team depends on.

  • Provider-specific SDKs leak into your codebase
  • Prompts are tuned for a single model's quirks
  • Switching providers means rewriting everything
04 Locked into your provider
working 
model: gpt-4
tools: [code]
mcp: openai/*
migration
rewrite 
??? incompatible
??? rewrite all
??? days of work

// The Solution

How we solve it in HubBound.

One control plane for the entire AI stack — from credentials to kits, from analytics to branding. Tab through each capability to see it in action.

Built-in roles

Team Management

Invite engineers and group them into teams. Two simple roles: admins manage access, team users just get the tools.

Action

Onboard 12 engineers into the Backend team. 1 admin, 11 team users.

Context

AdminTeam userAudit log

Team

Backend Engineering

12 members 2 roles
  • SR Sarah Romero Admin
  • AK Aki Kobayashi User
  • MD Mateo Díaz User
  • JL Jamie Lin User
  • RV Rita Vasquez User

// Audit log

Sarah added Aki as admin 2h
Aki invited 3 engineers 5h
System revoked offboarded key 1d

// The Secret Weapon

One binary. Every developer, fully set up.

The kit is the unit of work. A single command resolves the manifest, pulls every skill, MCP, agent and hook, and wires team credentials — no per-machine setup, no drift.

hubbound · binary
$ hubbound kits deploy frontend-kit --team web
Resolving kit manifest
Installing 8 skills
Connecting 3 MCPs
Provisioning 2 agents
Activating 4 hooks
Linking team credentials
frontend-kit ready on 12 machines · 0 manual steps
$

  • Zero-friction onboarding

    One command. Everything installed, correctly, always.

  • Provider-agnostic kits

    OpenAI kit, run it on Claude. No rewrites.

  • Centralized credential security

    Credentials never on the dev's machine. Revocation in one click.

  • Company-wide AI standards

    The CTO defines the stack. The kits apply it.

// The Team

Technical founders. Enterprise pedigree.

Senior engineers from the companies that ship enterprise software at scale. Now building the platform we wish we had.

Founders previously at

Logos used to identify past employers. No endorsement implied.

// Roadmap

What's coming next

We're shipping the MVP today. Cloud agents and AI flows come right after.

MVP

In Progress
  • Dashboard
  • Organizations
  • Teams
  • Integrations
  • Kits
  • Marketplace
  • Binary kits implementation
  • Cloud Tool Backups
  • Provider Migrations

Cloud Platform

Next

  • Cloud Agents

    Run AI agents in the cloud. Persistent, autonomous, and scalable — no local machine required.

  • Cloud Debugger

    Integrates AI into your monitoring flows (Datadog, Grafana) to actively review errors and propose instant solutions. Gives active observability insights.

  • Agents Orchestra

    Orchestrate AI Agents toward shared goals. Create agent teams that propose, judge, question, monitor, and execute.

  • Cloud Wiki

    A categorized knowledge hub for your company, ready for any agent to query and use.

  • Cloud Memories

    Where your agents and your team's agents store and share knowledge. The more you use it, the smarter it gets.

  • Cloud Router

    A proxy that exposes a unified, provider-compatible API and transparently routes requests to any backend provider.

  • Cloud Guards

    Embed security into your agents — prevent scope overruns, rebalance behavior, block prompt injection and agent misuse.

  • AI Flows

    Visual orchestration of multi-step AI workflows. Design, connect and run agent pipelines without code.

// FAQ

Frequently asked questions

Everything engineering leaders, founders, and investors usually ask before adopting HubBound.

What is HubBound?
HubBound is the AI command center for software teams. It centralizes AI credentials, kits, standards, integrations and analytics so engineering organizations can adopt AI tools like Cursor, Claude Code, ChatGPT and Cline without losing visibility, control or budget.
How does HubBound centralize AI usage for software teams?
HubBound replaces scattered API keys, individual subscriptions and ad-hoc IDE configurations with a single control plane. Engineering leaders manage providers, kits and access from one place, while every developer gets a fully configured, standardized AI environment from a single binary.
What AI providers does HubBound support?
HubBound integrates with the major AI providers — OpenAI, Anthropic, Google (Vertex / Gemini), and Mistral — plus the leading agent and coding tools such as Cursor, Claude Code, and Cline. New providers and tools are added continuously.
Can my team use their own API keys (BYOK)?
Yes. HubBound supports Bring Your Own Key (BYOK) for every supported provider, and also offers managed accounts when teams prefer HubBound to provision and bill access on their behalf.
How does HubBound prevent AI cost overruns?
HubBound tracks AI consumption by team, project, provider and developer in real time, surfaces idle subscriptions, and lets engineering leaders enforce budgets, quotas and policy guardrails before invoices ever arrive.
Is HubBound locked into a single AI provider?
No. HubBound is provider-agnostic by design. Prompts, kits and configurations are portable across providers, so teams can switch between OpenAI, Anthropic, Google and others without rewriting their workflows.
Who is HubBound for?
HubBound is built for engineering organizations of any size that have multiple developers using AI tools — from fast-moving startups standardizing AI usage from day one, to enterprises that need governance, audit logs and cost attribution across many teams.

// Ready to Invest?

Be part of the AI infrastructure layer.

We're raising our seed round. Let's talk if you back infrastructure for the AI era.

Schedule a Call

Or reach out directly

invest@hubbound.net