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Your invisible AI delivery team

White-label AI services
your brand on every build.

White-label AI services for your agency's clients. We build chatbots that answer from the client's own documents. We add automation with a person checking key steps, and knowledge systems that show their sources. Our senior AI team builds them, and you present them as your agency's work. NDA-backed, with client-protection terms agreed before work begins.

500+ agencies served · Reply within four business hours (typical)

Brands our teams have delivered for

  • Hello Peter
  • Gruber Logistics
  • Delhivery
  • Thomson Reuters
  • Qatar Airways
  • Grundfos
  • Save
  • BERD
  • Yale University
  • Kuwait Police
  • Dubai Police
  • Panasonic
  • Infosys
  • Kia
  • Hitachi
  • Orange Business Services
What we do

We build chatbots, workflow automation and knowledge systems that partner agencies present as their own, using the client's data. Every build has human checkpoints and testing before launch. We never promise zero errors. Your agency owns the client relationship and the retail price. We deliver behind your logo at partner rates, with NDA and client-protection terms agreed before work begins.

Our work

See what we've built
and the results it brought.

Real projects for real clients, with results we can show.

All case studies →
Technologies we work with
Commerce and web
  • Shopify
  • WooCommerce
  • Magento
  • WordPress
  • Webflow
  • Next.js
Marketing
  • Google Ads
  • Meta Ads
  • GA4
  • Klaviyo
Cloud
  • AWS
  • Microsoft Azure
  • Google Cloud
AI models
  • OpenAI
  • Anthropic
  • Google Gemini
Build and deploy
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
CRM and automation
  • HubSpot
  • Salesforce
  • Zapier
  • n8n

Product names and marks are trademarks of their owners. Naming a technology means our teams build with it. It does not mean a partnership, certification or endorsement.

What your agency can resell

The AI team
behind your brand.

01

Document-grounded AI chatbots

Support and sales assistants that search the client's own help centre, policies and past tickets. Every answer shows the source it came from. Anything uncertain goes to a person instead of a guess. Your agency sells the idea, and we build the assistant behind your logo.

02

Workflow automation with a human in the loop

Intake, sorting, data entry and reporting handled automatically. A person checks every step that needs judgement: approvals above a set amount, exceptions, and any change to a core business system. We build it into the tools the client already uses, so you never have to defend replacing them.

03

Knowledge systems (RAG)

RAG systems search the client's own documents and answer from them. One build can power site search, a lookup for the support team or an internal assistant. Every answer cites its source, and each user sees only what their access already allows. You can quote each use separately.

04

Testing and safety limits before launch

Before a customer or employee sees it, every build is tested against the client's real questions. We check that answers match the sources and that it refuses what it should. We also check it resists prompt injection (tricks that try to steer it). You see the scores and sign off on launch. Nothing goes live on a demo alone.

05

Reports ready for your client call

A weekly review, written up in your templates with your logo. Prism, our client workspace, comes with some engagements; your proposal says whether yours has it. Where it does, the review lives there. It shows what shipped, what is logged, and what still runs under supervision or on its own. You can forward it unedited or present it live. It says plainly what the testing did and did not prove.

The build-or-buy decision

Four ways to add AI,
side by side.

Five things decide it when your name is on a chatbot or an automation that runs on its own. They are reliability, brand safety, room to grow, governance and hidden costs.

FreelancerIn-house hireOther white-label vendorsPixelCrayons
ReliabilityCan build a prototype fast, but testing and safety limits often get skipped under deadline pressureStrong once settled in, but work stops on leave or exit, and hiring for AI is slowVaries by vendor; ask to see the evaluation suite behind the demoA named team, with a second specialist briefed from day one. Testing before every launch, a named lead and a weekly written report
Brand safetyA prompt screenshot could show your client who built it.Safe: it's in-houseVaries by vendor; ask for non-solicitation and a blackout, in writingNDA in writing, and we do not approach the clients you introduce
ScalabilityOne person's calendar limits how many pilots can run at onceA hiring cycle per step up, severance per step downVaries by vendor; ask how a resize works mid-engagementResize monthly against your pipeline, both directions
GovernanceWhatever habits they keep. Audit logs and refusal checks are often left until lastYours to build and enforceVaries by vendor; ask for the reporting template and the escalation pathAudit logs, human checkpoints and written test results, so you can trace any answer back to its prompt
Hidden costsYour hours re-briefing and quality-checking every model callSalary through quiet quarters; tools, compute and training on topRework when the first build hallucinates in front of the clientRates are agreed in writing, and proposals are itemised with no surprise invoices.
Join first, brief us later

Get set up now,
and we deliver when you win.

01
Today

Intro call

Thirty minutes on your clients, your margins and where AI fits your offer. No pitch deck, no obligation to bring a project.

02
This week

NDA and rate card on file

The capability pack and partner AI rate card arrive, and we sign your NDA. From then on you can put chatbot, automation or knowledge-system work in any pitch, before you have a client to quote. If you want the numbers first, they are on the partner price list.

03
When a client signs

First branded pilot

Once we have a complete brief, we confirm when your proposal arrives. Discovery and a written scope then arrive in your templates. The first working pilot follows, built on the client's own data and tested before anyone sees it.

04
As you grow

The AI team scales

One pilot becomes a longer plan, and extra work becomes a retainer. The same team stays on your accounts.

Inside Prism

Your engagements, week to week,
in Prism as well.

Prism is the client workspace where your requests, approvals, tasks and weekly reviews live.

Agency engagements can run in Prism too, where included: a workspace per engagement, client names withheld, holding your requests, approvals, tasks and the weekly review.

  • 01

    A workspace per engagement

    Client names withheld throughout.

  • 02

    Your requests and approvals

    Brief us, approve work, see who owns what.

  • 03

    Weekly review

    Each decision recorded, with the expectation attached.

How we report it, in Prism

The eval scorecard,
before the pilot goes near a customer.

What you receive in month one

AI work is reported against an evaluation set built before any model is chosen. In the first month you receive the task definition with the inputs and acceptable outputs written down, the eval set of real cases with expected answers, and the scorecard showing accuracy, refusal behaviour and cost per run. The go/no-go checklist names what must hold before the pilot touches live traffic.

  • 01Task definition: inputs, acceptable outputs, and the cases the system must decline
  • 02Eval set: real cases with expected answers, reviewed by your team
  • 03Scorecard: accuracy, refusal behaviour, latency and cost per run
  • 04Go/no-go checklist: the thresholds the pilot must meet before launch
  • 05Failure log: each wrong answer, its cause, and the fix applied

Related workA healthcare agency's backlog, unblocked and unbranded.Healthcare · US · A different discipline, so it is linked here rather than presented as proof of this one.

Where this fits

Related pages for agency partners

The partner price for AI work is on the partner price list, so you can quote before a client asks. The agency hub explains the partnership. AI for brands buying direct has its own page. Other white-label services are linked too.

Who is accountable

The people responsible
for your work.

Leadership and how we’re built →
Parvessh Agarwal

Parvessh Agarwal

Founder & CEO

An entrepreneur at heart. He links business analysis, strategy, clear goals and ROI to practical technology.

LinkedIn →
Saundaraya Gupta

Saundaraya Gupta

Technical Manager

Brings technical work, client updates and project management together, so work moves smoothly from brief to launch.

LinkedIn →

Every engagement

A named coordinator and escalation contact

Know who coordinates your engagement, who owns the work and how to escalate an issue.

All engagements. Roles may be combined and vary with your engagement.

Full terms →
Before you sign

Our commitments

Each one says where it applies and links to its full terms.

Client protection in writing

We deliver under your agency's brand and respect your client relationships. We do not approach the clients you introduce to us for direct business. Confidentiality and client-protection terms are agreed before work begins.

Agency engagements. Protection runs through the work and for twelve months after the last assignment for that client ends.

Full terms

Response and start times

We typically respond within four business hours. Eligible engagements can typically start within two to three business days after scope, payment and required access are confirmed.

Business hours are Monday to Friday, 9:00 am to 6:00 pm IST, excluding published company holidays. Typical expectations, not guaranteed service levels.

Full terms

Clear IP & Ownership Terms

Your materials remain yours. Bespoke deliverable rights, licences and handover are agreed before work starts.

All engagements.

Full terms

Clear Delivery & Escalation Ownership

Know who coordinates your engagement, who owns the work and how to escalate an issue.

All engagements. Roles may be combined and vary with your engagement.

Full terms

How we handle claims, credentials and your data: group credentials, dated ratings, how case figures are signed off, client permissions and data handling.

When it is unsure

What the build does
when it should not answer alone.

Your logo sits on every answer. So before anything is built, the scope sets which sources it may use, when it hands over and how it is tested. These are the moments those rules cover.

The momentWhat the build doesWhy
Any answer it givesAnswers only from the client's own documentation and shows the source under the answerYour client's team can check any answer against the document it came from.
It finds too little, or it is unsureSays so and hands over to a person, with the context attachedGuessing is how a made-up answer reaches your client's customer.
An approval above a set amount, an exception, or a change to a core business systemStops and waits for a person to checkJudgement stays with people. Only the repetitive work runs on its own.
A question touches documents the user cannot already seeRetrieval respects the permissions already in placeAn internal assistant should never show staff more than their own access allows.
Someone tries to steer it with a prompt injectionWe test that it resists this before launchYou see the scores and sign off on launch. Nothing goes live on a demo alone.
Something goes wrong after launchEvery conversation and automated action is loggedA mistake can be found and corrected rather than discovered months later.

Any language model can hallucinate. These rules aim for errors that are rare, visible and contained, never for a promise of zero.

Questions

Frequently
asked.

For bench partners, the NDA and rate card are on file before there is a project. Eligible work can typically start two to three business days after scope, payment and required access are confirmed. The first build is a working pilot: one chatbot, workflow or knowledge system. It uses the client's own data and is tested before launch.

There are two stages, and the first happens only once. Partner onboarding covers an intro call, your NDA, the rate card and capability pack on file, and a named contact. When a client brief arrives, we audit the documents, queue or systems the build touches. Before anything is built, we agree the sources, hand-over rules and test criteria in your templates.

Any language model can hallucinate, so we never promise zero behind your logo. Chatbots and knowledge systems answer only from the client's own documents and show the source. When they find too little or are unsure, they hand over to a person. Every build is tested before launch, and every conversation or action is logged so mistakes can be corrected.

The client's, always. Their documents, helpdesk, CRM and any connected system stay theirs. We reach them through a limited service account that your agency and their team control and can switch off. Work runs under NDA. If either of us leaves, the build keeps running and a proper handover explains exactly how it works.

Yes, and it often gives the best result. Some partners keep the documents in-house and buy the build: their content, our search system and safety limits. Others hand us all of it. The split is agreed per client. The client's own team can update the documents the build answers from without filing a change request.

That's your call. Some partners call us their AI team. Others say nothing, and our name never turns up in a prompt, a log or a delivered file. We don't approach clients you introduce for direct business, during the work or for twelve months after the last assignment for that client ends. If your client contacts us, we tell you.

No. A chatbot or automation clears the repetitive part of a queue. It hands everything that needs judgement back to a person, with the context attached. We present it to your client as freeing staff for other work, not as cutting jobs. We won't put an invented percentage on it, because no client's queue is an average.

The partner AI rate card is agreed once, in writing, and every engagement is quoted against it. You set the retail price and keep the margin. Nothing in a build shows what you pay us. Proposals are itemised by stage (pilot, testing, integration, monitoring), with no markup on compute, model or platform fees. Partner prices are on the partner price list.

Add AI to your rate card
before a client asks.

Get the partner AI rate card, the capability pack and an NDA on file, so the next chatbot, automation or knowledge-system brief arrives already priced. No project needed, no fee to join.

No project needed · NDA standard · Client protection in writing

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