Parvessh Agarwal
Founder & CEO
An entrepreneur at heart. He links business analysis, strategy, clear goals and ROI to practical technology.
LinkedIn →Generative AI development
built on your own data.
Put large language models to work on your documents, products and processes: assistants, drafting and summarising tools, and LLM features inside your product. We build on proven models and prove one use case before you scale it.
Discovery from $1,000, credited against the pilot · Reply within four business hours (typical)
Brands our teams have delivered for
What we do
PixelCrayons offers generative AI development: assistants, content and document tools and LLM features built on your own data. We build on proven models from OpenAI, Anthropic, Google and others, never training a model from scratch. A discovery at $1,000 sets the scope and a fixed quote, and pilots start at $5,000.
Our work
See what we've built
and the results it brought.
Real projects for real clients, with results we can show.
2004
Established
500+
Agencies served
4,500+
Projects delivered
340%
Revenue growth · 7 months
eCommerce
+127%
Organic traffic · 5 months
SaaS
85%
Faster delivery · backlog cleared
via agency partner
Where the work happens
How we build
What generative AI development
includes.
01
LLM features on your data
We connect a large language model to your documents, products or records through retrieval, so it answers and drafts from your own information and cites it. That is cheaper to run and easier to update than training a model.
The approach
02
Content and document tools
Tools that draft product copy, summarise calls and reports, extract fields from documents or check text against your rules, with a person approving anything that goes out.
Common use
03
Models chosen on fit and cost
We choose the model on fit, cost and where your data must be stored, and design the build so you can swap it later.
Every build
04
Guardrails and tests
Every build is tested on real examples before launch: accuracy against your sources, tone, refusals and resistance to misuse. Every output is logged.
Before launch
05
One use case proven first
A discovery sets the scope, and the pilot takes one use case to a working system. You scale only what has worked.
Always
How it starts
From discovery
to a working tool.
01
Start
Brief and a call
We sign an NDA and talk through the use case and the data behind it.
02
Weeks 1 and 2
Discovery
Scope, data check, model choice and a fixed pilot quote.
03
Your decision
You sign off
You confirm the pilot scope, the payment and the access we need. Nothing starts before this.
04
4 to 8 weeks
Pilot
One use case built on your data and tested on real examples.
05
After launch
Run and extend
A dedicated AI team or a monthly plan keeps it running and adds the next use case.
Related AI services
Other ways to start
For a defined assistant, a chatbot is the quickest start. For a wider build, see custom AI development.
Who is accountable
The people responsible
for your work.
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.
Before you sign
Our commitments
Each one says where it applies and links to its 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 termsClear IP & Ownership Terms
Your materials remain yours. Bespoke deliverable rights, licences and handover are agreed before work starts.
All engagements.
Full termsClear 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 termsHow do we know the work will be good?
Every delivery is reviewed before release by QA, your Project or Account Manager and a senior delivery lead, and you then review it against the acceptance criteria agreed at the start. Our specialists use AI to support delivery, with people responsible for reviewing the work. Applicable development work includes 30 days of corrective maintenance after production launch.
Who owns the ad accounts, the data and the work?
Your materials, data and accounts remain yours, and we prefer to work in advertising and analytics accounts you own, with access delegated to our team. Agreed ownership rights in bespoke deliverables transfer under the engagement terms and applicable payment; third-party software and assets keep their licences. We do not withhold customer-owned data or accounts over a payment dispute.
What if we want to stop?
Cancellation, notice and any renewal terms are written into your proposal or statement of work before you accept it. If an engagement ends early, we hand over completed, paid-for work and list any unfinished work separately. For an eligible specialist trial, you can stop within the trial window and pay nothing for eligible trial hours.
How will we know what you are doing?
Before work starts we agree how often you get updates, what the reports cover and who sends them. You know who coordinates your engagement, who owns the work and how to escalate an issue. For hourly and retainer work, time is recorded in Workstatus, so you can see the time records behind your invoice.
How we handle claims, credentials and your data: group credentials, dated ratings, how case figures are signed off, client permissions and data handling.
The discovery
What we settle
before building.
These are the questions the discovery answers for a generative AI build.
- 01The jobWhat it drafts, answers or checks, and for whom.
- 02The sourcesThe documents and records it may use.
- 03The modelChosen on fit, cost and where data must be stored.
- 04The guardrailsWhat it must refuse, and when a person approves.
- 05The cost to runModel and hosting cost at your expected volume.
- 06The pilot quoteA fixed price for one use case.
The discovery fee is credited against the pilot within 60 days.
Questions
Frequently
asked.
Discovery costs $1,000: two weeks, ending in the scope, the model choice and a fixed pilot quote, credited against the pilot within 60 days. Pilots start at $5,000 for one use case. Model and API usage and hosting are billed separately, and prices exclude taxes.
We build on proven models and give them your knowledge through retrieval and careful prompts. Training a model from scratch is not something we offer.
Models from OpenAI, Anthropic, Google and open-source providers, chosen on fit, cost and where your data must be stored.
We use enterprise API terms where the provider does not train on your data, and agree storage, retention and access before work starts.
A chatbot is one kind of generative AI tool: an assistant people talk to. Generative AI development covers the wider set, including drafting, summarising and LLM features inside your own product.
The range
What it costs,
at the direct rate.
A two-week discovery sets the scope and a fixed pilot quote. The pilot takes one use case to a working system. A dedicated AI team then carries it on, billed monthly.
- One-offDiscovery$1,000–$5,000one-time
- ProjectPilot$5,000–$50Kfixed quote, one-time
Indicative: every figure is refined into an itemised proposal.INR figures shown excl. GST.
Prove one generative AI use case
on your own data.
Tell us the job and the data behind it. We reply with a date for the discovery.
Reply within four business hours (typical) · NDA standard · Clear IP & Ownership Terms
Last updated