Orqent Labs

Engagement.Orchestrated.

Flexible commercial structures for every stage of AI transformation, from a single launch to global enterprise platforms. Every Orqent engagement is priced on scope. Talk to us for a tailored quote.

Project-Based Builds

Fixed scope. Fixed delivery.

Launchpad
Single AI feature, bot or automation.
Builder
Full AI product or multi-agent system.
Enterprise
Complex platform or enterprise suite.
Fortune
Global-scale AI transformation.

One-time engagement. Full IP ownership by client.

Discuss Engagement
Most Engaged

Retainer & Managed AI

Ongoing intelligence. Dedicated team.

Core
1 product, support & updates.
Growth
2-3 products, dedicated engineer.
Enterprise
Full stack, SLA, priority response.
Strategic Partner
C-suite AI advisory + full team.

Monthly engagement. Continuous model upgrades included.

Discuss Engagement

SaaS & Platform Licensing

Subscription. Scale. White-label.

Starter
Core platform access, limited usage.
Scale
Expanded usage & API access.
Enterprise
Unlimited users, custom SLA.
White Label
Full reseller rights, custom branding.

Annual licensing. Reseller & white-label available.

Discuss Engagement
Every engagement includes
Dedicated AI ArchitectNDA & IP ProtectionCustom SLAMulti-Model FlexibilityPost-Deployment Support

What actually drives the number

Four variables account for most of the difference between one quote and another. None of them is the model you use.

The single most common surprise in AI pricing is that the model is rarely the expensive part. Inference cost matters at volume and we optimise it hard, but on a first build, engineering time dominates, and engineering time is driven by integration surface far more than by anything to do with intelligence.

A chatbot that answers from a public FAQ and a chatbot that reads order status from your ERP look identical to a user and differ by weeks of work. That is the honest explanation for most of the spread you will see between vendors: the cheaper quote usually assumes the first one.

  1. Driver 1Integration surfaceHow many systems the work must reach, and whether they have usable APIs. One system with a clean API is a week; four systems including a legacy one with file-based exchange is a month. This is the largest single variable.step 1
  2. Driver 2Exception densityWhat fraction of cases deviate from the happy path. Automating the clean 60% is a fraction of the cost of handling the distribution, and the distribution is what determines whether anyone actually stops doing the work manually.step 2
  3. Driver 3Evidence burdenWhat you must be able to prove afterwards. A regulated build carries validation, documentation and audit-trail work that an internal tool does not, and that work is real engineering rather than paperwork.step 3
  4. Driver 4Volume at steady stateAffects architecture more than build price. A workload running ten million calls a day justifies routing, caching and possibly self-hosted models; at a thousand a day that engineering would cost more than it saves.step 4
Always included
Full IP transfer, in your repositories. Source, infrastructure-as-code, tests, runbooks and a handover walkthrough with the team who will own it.
Never charged separately
Discovery conversations, scoping, the architecture recommendation, and telling you when something is not worth building.
Inference costs
Billed to your own provider accounts at cost, never marked up. You see the real number and keep the account after we leave.
Third-party licences
Yours directly, not resold through us, which is also why our technology recommendations carry no commission.
Change during a build
Scope changes are re-quoted before work starts on them, not absorbed silently and invoiced later.
Payment structure
Staged against milestones you can see working, not against calendar dates.

What we do not do

  • We do not quote a fixed price before understanding the integration surface. A number given in the first call is a guess, and guesses get corrected in your direction.
  • We do not bill for our own rework. If we build it wrong against agreed scope, fixing it is ours.
  • We do not lock you in through infrastructure. Deployments run in your cloud accounts, under your credentials, and keep working if you never speak to us again.
  • We do not take a margin on model or infrastructure spend. That would make us the wrong people to ask which model to use.

If you want a figure quickly, the fastest route is a two-week readiness assessment: it ends with a scored use-case inventory, a data-readiness verdict per use case, and effort estimates you can budget against, including for the options where the recommendation is to buy something rather than build it.

Engagement Strategist

Meet Kaito.

typing01 / 04
Discuss Engagement