Scale the engineering talent you already have
The thing AI can't replace at an AI startup is your senior builders — and their time is the scarcest capital you have. Level is the operating layer that keeps them on the product: it runs finance ops, tracks gross profit per engineer hour and burn multiple, captures the R&D credit (6-14% of qualifying dev spend, refundable against payroll tax under $5M revenue) and GenAI credits from Anthropic, OpenAI, and AWS Bedrock your CPA never raises, and maps everything to the metrics investors actually want.
The AI Startups Problem
AI startups overpay tax, underclaim credits, and waste scarce engineering time on finance ops built for SaaS — not for the cost shape of inference and training.
Most AI startups spent $80K-$500K in the past 18 months on custom AI development — agents, RAG pipelines, fine-tuning, voice integrations. The Section 41 R&D credit is worth roughly 6-14% of qualifying spend. Sub-$5M-revenue companies can monetize it against payroll tax. The vast majority of AI founders we talk to have never claimed it because their CPA doesn't proactively raise it.
GenAI credits from Anthropic ($25K-$100K), OpenAI, AWS Bedrock, GCP Vertex AI, and Azure OpenAI total $50K-$500K of free compute for early-stage AI startups. Most founders sign up directly and pay full retail. We unlock these at signup, before you've burned the first $50K of inference cost.
AI cost shape is different from SaaS. Your COGS includes inference, training compute, and data licensing — not just hosting. Standard SaaS metrics like gross margin and CAC payback need to be calculated differently for AI companies. Most fractional CFOs reuse SaaS templates and miss the AI-specific cost mechanics.
Analyzed with the CLEAR Framework
Cash · Labor · Earnings · Accounts · Risk — the five pillars we evaluate for every AI startup.
AI Startups Industry Benchmarks
How do the best AI startups AI startups perform? Data from our analysis of 2,200+ contractors.
R&D Credit Capture
6-14%
Of qualifying dev spend. Section 41. Refundable against payroll tax under $5M revenue.
GenAI Credit Programs
$50K-$500K
Anthropic, OpenAI, AWS Bedrock, GCP Vertex, Azure OpenAI combined for early-stage.
Burn Multiple Target
Under 1.5x
Series A AI startup. Net new ARR / net burn. Above 2x is concerning.
Inference COGS %
20-40%
Of revenue for vertical AI. Lower for thin wrappers, higher for inference-heavy products.
Runway Standard
18-24 mo
Tier 1 VC expectation post-raise. Below 12 mo triggers bridge conversations.
Treasury Yield
4.5-5.0%
Available via Ramp Treasury, Mercury Treasury, Rho. Most early-stage cash is sitting at 0%.
What Level Does for AI Startups AI startups
Gross Profit Per Engineer Hour & Burn
The core metric: how much your scarce engineering time actually produces against what you spend. Level connects your books, payroll, and cloud spend to track gross-profit-ARR, burn multiple, and runway in real time — so every senior-engineer hour goes to the product, not the finance ops.
R&D Credit Optimization (Section 41)
We document qualifying activities, calculate Qualified Research Expenses, file Form 6765, and elect payroll tax offset (Form 8974) for sub-$5M companies. Most AI dev work qualifies; most CPAs miss it.
GenAI & Cloud Credit Recovery
Anthropic, OpenAI, AWS Bedrock, GCP Vertex AI, Azure OpenAI startup credit programs. We help you apply at signup, not after you've already burned cash on retail-priced inference.
AI-Specific Burn & Runway Modeling
Inference, training, and data costs scale differently than SaaS hosting. We build runway models that account for usage-based COGS, training spike costs, and the gap between top-line ARR and gross-profit ARR.
Investor Reporting & Board Decks
Burn multiple, magic number adjusted for AI-COGS, ARR growth, gross margin trend, runway. We build the deck your seed and Series A investors actually want to see, not a generic SaaS template.
Treasury Optimization (Ramp / Rho / Mercury)
$5M of unfunded cash earns ~$0 in checking and ~$240K/year in Treasury bills via Ramp, Rho, or Mercury Treasury. We restructure cash management once and the yield pays for the engagement.
QSBS & Founder Stock Strategy
Section 1202 stock gets up to $10M (or 10x basis) of federal capital gains exclusion at exit. The structure has to be right at C-corp formation. 83(b) elections, founder stock vesting, secondary planning. We get this right early.
Bookkeeper, your CPA — vs. Level
| Capability | Bookkeeper | CPA | Level |
|---|---|---|---|
| Record transactions | ✓ | — | ✓ |
| File taxes | — | ✓ | — |
| R&D credit (Section 41) | — | Sometimes | ✓ |
| GenAI credit programs | — | — | ✓ |
| AI-specific burn modeling | — | — | ✓ |
| Board decks for AI metrics | — | — | ✓ |
| QSBS structuring | — | — | ✓ |
| Treasury optimization | — | — | ✓ |
| Founder tax (O1, 83(b), AMT) | — | Rarely | ✓ |
Your bookkeeper records the past. Your CPA files taxes. Level is the operating layer in between — it connects the work to the money and shows you how to make more from the people you already have.
We connect to the tools you already use
15-minute setup. Read-only access. Your data stays secure.
AI Startups Insights
Data-driven articles for AI startups who want to see the numbers.
R&D Tax Credit on Your AI Workflow Spend
Section 41 four-part test. What qualifies, what doesn't, how to claim with Form 6765 + payroll tax offset.
Read more
AI Patterns Across 540 Contractor Conversations
What aggregating data revealed across hundreds of operations.
Read more
Your CPA Files Taxes, Your Bookkeeper Closes Books
Why startups overpay $40K-$120K/year and the fractional CFO that closes the gap.
Read more
Most Fractional CFOs Are Spreadsheet Operators
Real CFO work is decision-driven, not reporting-driven.
Read more
From clients
What founders say after working with us.
“Pre-seed AI startup, raised $2.4M, and I was guessing at runway because our books were in shoeboxes. Sam took us from zero accounting to investor-ready in 6 weeks. Built a runway model, R&D credit capture (~$78K), and a clean monthly close. We extended runway by 4 months without changing burn — just by knowing where the money was actually going.”
“Series A SaaS, ~$3M ARR, and our board was asking for unit economics we couldn't produce. Sam built proper CAC/LTV by channel, gross margin by customer cohort, and a clear path to default-alive. Next board meeting was completely different — we got the green light to push faster on a channel we'd been underfunding.”
“Seed-stage AI company, $1.4M ARR, infra costs were eating us alive — 38% of revenue going to GPUs and cloud. Sam negotiated us off on-demand to committed-use pricing, restructured our cost-of-revenue allocation, and got infra to 22% of revenue in one quarter. That's the difference between needing to raise in 6 months and not raising for 18.”
Simple pricing
Three tiers, one ladder.
From $99/mo
Simple Audit
Clean data plus a monthly read on margin per hour and trapped cash. Same flat rate for catch-up.
From $1,500/mo
Scale
The full operating layer — AI agents, weekly actions, and benchmarks to grow margin per hour.
Custom
Platform / Multi-Office
Multi-branch benchmarking and scorecards for PE-backed and multi-location groups.
Book a call
Book a free 15-min AI Startups audit.
We'll review your AI startups numbers, benchmark them, and tell you what to fix first. No commitment.
Or have us reach out instead.
Drop your info and Level will review your AI startups numbers within a few hours. Free audit included.
No commitment. Real numbers, not generic advice.