Pricing
AI engineering, from opportunity to production.
We help software companies find where AI can create real value, then build and integrate the systems to capture it.
Not sure where AI fits?
Audit it.
One to two weeks examining your product, workflows, data, and systems. You end with a prioritized opportunity map and a roadmap you can act on.
AI AuditFrom $2,000
Know what you need?
Build it.
Skip the assessment. We scope the work, then build and integrate the system into the product and infrastructure you already run.
AI ImplementationFrom $5,000
Already have AI?
Optimize it.
We review the system you're running and make it better, faster, cheaper, and easier to operate — with measurement to prove it.
AI OptimizationFrom $3,000
01
AI Audit
From $2,000
A fixed-length, fixed-price engagement that establishes where AI is worth building in your business — and where it isn't.
1-week audit$2,000The standard engagement. One product area or workflow set, with the data and infrastructure behind it.
2-week audit$4,000A deeper assessment across multiple workflows, systems, data sources, existing AI infrastructure, or business areas.
Larger or complex auditsCustom quoteUnusually broad or complex scope, agreed with you before anything starts.
What the audit evaluates
Product and business workflows
Existing AI systems
Data and knowledge sources
AI infrastructure
Automation opportunities
Technical feasibility
Expected business impact
Risks and dependencies
What you get
Prioritized AI opportunity map
Every credible opportunity, ranked by impact, feasibility, and data readiness.
Technical recommendations
The approach we would take for each opportunity — and what we would deliberately avoid.
Business impact estimates
What each opportunity is worth if it works, with measurable success criteria where the numbers support it.
Recommended architecture
How the system should be built and how it fits the stack you already run.
Implementation roadmap
What to build first, what it depends on, and in what sequence.
Risks and dependencies
What could go wrong, and what to de-risk before committing engineering time.
Selected companies receive an AI Audit for free
We run a limited number of audits at no cost as part of our strategic outreach program. It is selective and we choose deliberately — this is not a standing offer. The audit is the same $2,000 engagement, done to the same standard.
02
AI Implementation
From $5,000
We build and integrate production AI systems into existing products, workflows, and infrastructure — or build new AI systems from the ground up.
AI IntegrationFrom $5,000An AI capability added to a product, workflow, or backend you already run.
AI System / Agent BuildFrom $8,000A system, agent, or agentic workflow built end to end and put into production.
Complex AI Product / SystemFrom $15,000Multi-component systems with real data, integration, security, and reliability requirements.
These are starting prices, not fixed packages
Final pricing is set once the work is scoped. It depends on:
ScopeIntegrationsDataInfrastructureQuality requirementsSecurity requirementsDeployment complexity
Work we take on
AI product features · Agents and agentic workflows · MCP integrations · RAG and knowledge systems · Workflow automation · Document processing · Voice AI · AI APIs and backend systems · Evaluation and observability infrastructure
Already know what you need? We can scope and build it directly.
An AI Audit is not mandatory before implementation. If the requirements are clear, we go straight to scoping the build.
03
AI Optimization
From $3,000
Already have AI? We can make it better, faster, cheaper, and easier to operate.
For companies already running an AI system — whether it is in production or an early implementation that needs serious improvement. We review what exists, then fix what is actually holding it back.
Quality
Reliability
Latency
Model selection
Retrieval
Evaluation
Observability
Architecture
Infrastructure
Operating cost
Ongoing AI Engineering
From $3,000/monthAn optional continuation after an audit, implementation, or optimization engagement — a standing engineering capacity rather than a new project each time.
New AI featuresNew integrationsOptimizationEvaluationInfrastructureProduction improvementsAdditional AI projects
How engagements run
No mandatory gate, no open-ended scope
You may start with an audit, move directly into a focused implementation, or ask us to review an AI system you already run.
00Intro call30 minutes with an engineer, not a salesperson. We learn about your product, workflows, and existing AI work — and tell you honestly whether there's a meaningful opportunity and whether we're the right team for it.
01AuditWhere the opportunity or technical direction is unclear, the audit provides the deeper assessment: product, workflows, data, and existing systems — ending in a prioritized roadmap and concrete recommendations.
02BuildScoped around a specific outcome. A shared project board, daily commits to a repository you own, and a staging environment early. No big reveal at the end.
03Handover & beyondDocumentation, a walkthrough with your team, and a runbook — all code belongs to you. Continue with ongoing optimization where it makes sense.
1–2 weeks
AI audit
3–6 weeks
Feature integration or RAG MVP
6–10 weeks
Full production RAG system
3–6+ months
Agentic platform or end-to-end build
Indicative only. We give a precise timeline once the scope is understood, not before.
Questions we get before signing
Anything else, ask the assistant — it answers from the same source we do.
How is implementation priced?
From published starting prices, then scoped precisely. Integrations start at $5,000, system and agent builds at $8,000, and complex AI products at $15,000. The final number depends on scope, integrations, data, infrastructure, and quality, security, and deployment requirements — we set it once the work is scoped, and we prefer fixed scope where the requirements support it.
When is an audit free?
Selected companies may receive an AI Audit for free as part of our strategic outreach program. It is selective and not a standing offer — the standard price is $2,000 for one week and $4,000 for two. The work is identical either way.
Who owns the code?
You do. All code we write is yours, in a private repository you own from day one. We document everything as if we will never speak again, so your team can maintain and extend it. No wrappers we keep and rent back to you.
Do you rewrite our codebase?
No. We integrate with your existing stack and never propose rewrites. Our systems are built as services or modules that connect to your architecture through clean API contracts. Your team keeps ownership of the rest of the product.
Can you review an AI system we already built?
Yes — that's the optimization engagement. We review quality, cost, latency, reliability, evaluation, and architecture of AI systems already in production, then improve them with your team or for your team.
Do you sign NDAs, and can data stay on our infrastructure?
Yes to both. We sign a mutual NDA before any technical discussion of your data, turned around in 24 hours, and we have standard DPAs for GDPR and HIPAA-adjacent requirements. We have built fully on-prem and private-cloud deployments with self-hosted embedding models and LLMs served via vLLM, where no data leaves your infrastructure.
Where do you start?
Not sure what to build?
Start with an AI Audit.
Already know what you need?
Let's build it.
Already have an AI system?
Let's make it better.
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