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ScaleKernel
ScaleKernel

Go from LLM wrapper to hypergrowth AI company

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  • AI Engineering
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  • Growth Execution

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Pricing

Results-based pricing

No subscriptions. No large retainers. Each phase is scoped, executed, and priced on measurable progress — phase fees are negotiable.

  • One phase at a time
  • Fee tied to impact and complexity
  • Phase fees are negotiable
  • You approve before the next phase starts
1

Scope the phase

Agree deliverables, metrics, and fee upfront.

2

Execute & measure

Ship work and track outcomes against baseline.

3

Gate & continue

Review results. Approve next scope and fee — or pause.

What drives your phase fee

MRR growth potential

Revenue impact the phase targets.

User growth impact

Acquisition, activation, retention.

Engineering complexity

AI systems and infrastructure depth.

Product execution scope

Discovery, validation, MVP work.

Marketing & growth scope

GTM, channels, lifecycle systems.

Illustrative fees — every phase fee is negotiable before work starts.

Compare

What you don't pay for

Outcomes over activity billing.

ModelTypical downsideScaleKernel
Monthly agency retainerPays for activity regardless of outcomesPays for phased results you approve
Fixed SOWRigid scope; change orders are painfulFlexible phases scoped from real progress
Hourly consultingRewards time, not impactPriced on impact, complexity, and outcomes

Scenarios

Example starting points

Pre-PMF startup

Production AI hardening first — then Innovation-as-a-Service and Growth Execution phases.

Related service →

Pre-PMF startup

Ideation and discovery for your next big bet, then validation across Innovation-as-a-Service and AI Engineering.

Related service →

Wrapper → production AI

RAG, evals, and infrastructure first — then GTM once the product holds up.

Related service →

FAQ

Pricing questions

Early phases are scoped against learning and infrastructure milestones — eval baselines, validated workflows, or technical readiness — not revenue you do not have yet.

You can pause after any phase gate. We document state so you can resume without re-discovery.

No standing minimum. You commit one phase at a time.

Yes, when the scope is coherent and measurable. We avoid kitchen-sink phases that cannot be evaluated at close.

Defined per phase — e.g. eval pass rate, interview synthesis, activation lift, or pipeline velocity. We agree upfront and report at close.

Retainers optimize for time spent. We optimize for outcomes you can see and approve before funding the next phase.

Yes. Sample fees on our roadmap are illustrative. We scope each phase with you and agree on a fee based on deliverables, complexity, and outcomes — nothing is fixed until you approve it.

Yes. We use an initial call to understand fit, then scope Phase 1 with explicit deliverables and a negotiable fee — no surprise invoices.

Absolutely. Many engagements begin with AI Engineering or Innovation-as-a-Service only, then expand via approved phases.

Scope Phase 1 on a call

We'll propose deliverables, metrics, and a negotiable phase fee before any work begins.

Book a call

Pricing

Results-based pricing

No subscriptions. No large retainers. Each phase is scoped, executed, and priced on measurable progress — phase fees are negotiable.

AI Engineering

Innovation-as-a-Service

Growth Execution

MRR growth

$0$3.33k

User growth

62 waitlist248 activated beta

Phase fee

$1,850

Week 1–4 · negotiable, agreed before execution