AI startups are sitting on credits they will never use. Here is the lever.

I run sales at Ivy. Almost every AI startup I talk to has free credits they will never spend.

Microsoft for Startups Founders Hub puts up to $150,000 of Azure on the table. Anthropic Startups runs $5K to $25K in Claude tokens. AWS Activate goes up to $100K. Google for Startups Cloud puts $200K of GCP over two years. Most of those programs expire unused, because nobody on the team has the bandwidth to actually convert credits into shipped code.

Every AI startup founder I know recognises the pattern. You won the credits, the backlog grew faster than the team could keep up, and your runway burns in cash while the credits sit in a portal nobody opens.

The lever you already paid for

Hiring does not solve this. You don't have the cash, the time, or the months for onboarding. More AI tools don't solve it either. The AI capacity is already sitting on your dashboard.

The lever is to put those credits to work as an agent-orchestration pipeline that ships code, with humans in the loop where they actually need to be. That pipeline is Ivy Tendril. It is free, open source, and one-click-deployable onto the Azure subscription where your credits already live.

The simple math

The credit programs stack:

• Microsoft for Startups Founders Hub. Up to $150,000 of Azure. No funding required to apply. Tiered $1K → $5K → $25K → $150K as you progress. aka.ms/startups.
• Anthropic for Startups. $5K to $25K in Claude credits. Strongest path when Tendril is running Claude as the primary model. Usually requires accelerator or VC backing.
• AWS Activate. Up to $100K. Includes Bedrock access to Claude, Llama, and Mistral.
• Google for Startups Cloud. Up to $200K over two years, plus Gemini API access.
• Ivy Tendril. $0. Free, MIT-style licence.

Stacked together, that is enough capacity to run a parallel agent fleet for months. Every token the agents burn is a token you did not pay for in cash. The throughput you would otherwise have to hire shows up on the dashboard instead of the payroll.

Where AI startups sit on the curve

Steve Yegge's 8 Levels of AI-Assisted Development (Augment Code, 2025) is the cleanest diagnostic of how teams actually use AI today. Most AI startups land between level 2 and level 3, which is where Copilot, Cursor, and Claude Code sit by default. The funded competitor in the next neighbourhood is sprinting toward level 8.

At level 8 the orchestrator runs many agents in parallel across people, repos, and tickets. The system accumulates knowledge about how your codebase wants to be worked on. That is the 2× to 10× output gap funded competitors will use to outrun you. Better models alone do not produce it.

One click, on your Azure subscription

One command spins up the full Tendril stack on your subscription. The coordinator runs 10+ agents in parallel against a worker pool that scales with workload. Claude is the default model. Codex, Gemini, or a local model is a one-line config change. Persistent memory means the orchestrator learns your codebase, so every run improves the next.

The source code is on GitHub, the docs are at tendril.ivy.app, and you can click the deployment yourself if you want to.

If you would rather not click alone, our free 90-minute workshop is the fastest path. An Ivy engineer deploys Tendril on your subscription with you, wires it to your repo, and puts your first production agent live alongside you. No fee, no contract.

What we offer

Three packages, sorted by depth of engagement.

The Free AI Workshop is 90 minutes on a video call. We deploy Tendril on your subscription, get your first custom agent live, and leave you with a shortlist of the next three to five agents that would return the most for your codebase. If you have not applied for Microsoft Founders Hub yet, we walk through it with you.

The Growth Accelerator is a two-to-three-week embedded sprint. Custom orchestration tuned to your repo, your stack, and your conventions. Three to five production-grade agents shipped live, picked from code review, test generation, security audit, doc updates, and ticket grooming based on what returns the most for your team. We add a founder-facing ideation interface so anyone on the team can drop in a feature request and get scoped agent-ready work back in minutes. Pricing is credit-sharing, milestone-based, or success-fee, structured around your stage.

The Full Co-Build is a long-term embedded partnership for Series A+ AI startups treating agent orchestration as a strategic moat. Custom agents for your domain. Training, playbooks, governance, quarterly reviews. The orchestrator is yours forever; the engagement is the relationship.

Read the whitepaper

The full 10-page paper has every credit program in detail, the deployment architecture, and each package scoped end to end.

Download the Startup Growth Accelerator whitepaper (PDF) →

Or email renco@ivy.app and we will book the free 90-minute workshop.

The engagement scales with how your team grows. If you have credits and a backlog, we have the orchestration and engineers to put them to work.