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Pricing

Custom AI Solution Cost

Custom AI solution cost in 2025: from tailored automations to bespoke multi-agent platforms, with transparent ranges.

Overview

What drives Cost

Custom AI pricing sits wherever off-the-shelf tools cannot solve your problem - usually because your data, workflow, or compliance is specific. A tailored single-purpose automation starts around twenty thousand. A bespoke multi-agent platform with retrieval, evals, and long-running workflows runs one hundred fifty thousand and up. The tiers below reflect the real cost of building AI that is truly yours.

Cost factors
  • 01Data volume, freshness, and modality
  • 02Custom model vs frontier API
  • 03Number of specialized agents or sub-pipelines
  • 04Evaluation rigor and acceptance criteria
  • 05Infrastructure (serverless, Kubernetes, dedicated GPU)
  • 06Ongoing retraining and drift monitoring
Pricing tiers

Typical pricing tiers

01 / 03
Tailored automation
$20k - $60k
5-10 weeks
  • Custom prompt pipeline
  • One-off model or API
  • Targeted evals
  • Deployment runbook
02 / 03
Bespoke platform
$80k - $200k
3-5 months
  • Multi-agent orchestration
  • RAG or fine-tune
  • Observability suite
  • Internal admin UI
03 / 03
Enterprise custom
$250k+
6-9 months
  • Dedicated infrastructure
  • Compliance-grade controls
  • Human-in-the-loop tooling
  • SLA-backed ops
All ranges exclude recurring inference, hosting, and third-party licensing.
What you pay for

No surprise line items

Every engagement is scoped against a written statement of work. Changes are logged weekly and priced transparently. You always know where the number is going before it gets there.

Written scope

A statement of work with deliverables, acceptance criteria, and a timeline before we start.

Weekly change log

Every scope change is logged and priced within a week of being raised. No end-of-quarter surprises.

Code you own

You own the code, prompts, weights, and infra-as-code. Standard work-for-hire clauses, no lock-in.

Handover and support

Runbooks, architecture diagrams, and a support retainer so your team can take it from here.

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FAQs

Pricing questions

When does custom actually beat off-the-shelf?

When your data is proprietary, workflow unusual, or compliance strict. Otherwise ship off-the-shelf first and custom second.

Do you build custom models from scratch?

Rarely. Frontier models plus fine-tuning or LoRA adapters cover 95 percent of cases and cost far less.

Who owns the custom model weights?

You do. Weights, prompts, and infra-as-code all ship under your ownership.

What about long-term maintenance?

Budget 20-30 percent of build cost per year for retraining, drift, and model version upgrades.

Free consultation

Telluswhatyouwanttoautomate.We'llreplyinonebusinessday.

Describe the problem, the constraint, the deadline. We'll send back a scoped plan and a senior engineer to kick it off — no sales theater.

Discovery call within 48 hours
Scoped proposal in one week
NDA-first, IP assigned to you
Dedicated Slack / Teams channel
Transparent weekly reporting
SOC 2 / GDPR / HIPAA-ready workflows
01 / 01replies in 24h
Schedule a free consultation
No sales pitch. A real engineer reads every message.