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Video production should not
depend on a production budget.

Artquil Private Limited was founded in 2026 to close the gap between the video a team needs and the video a team can afford to make.

A tower at dusk — a frame from an Artquil render
What we do

We turned five specialists into one sentence.

Scripting, filming, editing and sound work are four different crafts on four different schedules. Artquil compresses them into a single automated pipeline, so professional video reaches teams that were never going to get a budget for a crew.

The problem

Video is gated by cost

  • Every stage is a handoff, a calendar and an invoice
  • Cost scales with minutes, so nobody makes the second version
  • Teams that need the most video usually have the least budget
  • The idea dies at the quote, not at the concept
What we built

Video is gated by an idea

  • One prompt, one pipeline, picture and audio together
  • Cost scales with compute, so the second version is worth making
  • Volume stops being a procurement question
  • The constraint moves back to having something worth saying
Positions

Four things we don't move on.

Generative video makes a lot of things easy that probably should not be. These are the lines we hold, and we would rather lose the work than move them.

  1. Generated people are never presented as real customers

    A synthetic face delivering a testimonial is a fabricated review. We will render a presenter, a narrator or a scene; we will not manufacture social proof that somebody then passes off as a person who bought something.

  2. We don't clone a real person without their say-so

    Not their face, not their voice. If you want a specific person in a video, that person needs to have agreed to it — and we will ask you to confirm they did.

  3. Your prompts don't quietly become training data

    What you write and what you render stays yours. If we ever want to learn from it, that will be an explicit opt-in announced before it takes effect, not a clause added to a policy page in the hope nobody re-reads it.

  4. We say when it isn't a fit

    Some video should be filmed. If your brief needs a real location, a real product in a real hand, or a person the audience already trusts, we will tell you that instead of selling you a render that will underperform.

The team

Six people, in Prayagraj.

A core team spanning AI research, engineering and MLOps — small enough that the people building the models also answer the email.

  1. Yogita PrajapatiCEO & Founder

    Runs the business and holds the product line — what Artquil is for, and what it refuses to become.

  2. Riya SolankarCTO & AI Research Lead

    Owns AI/ML strategy: which models the pipeline leans on, and how picture and audio stay locked to one timeline.

  3. Rohit SinghML/AI Engineer

    Models and inference — turning research into a render path that finishes reliably under load.

  4. Gaurav KumarML/AI Engineer

    Models and experimentation — the quiet work of finding out which approach holds up on real briefs.

  5. Aman YadavFull-Stack Engineer

    Product and backend: the prompt box, the queue, and everything between the sentence and the render.

  6. Ankesh YadavMLOps & Cloud Engineer

    GPU and AWS infrastructure — capacity that absorbs a spike instead of forming a queue behind it.

Where we are

Prayagraj, working with teams anywhere.

The company is headquartered in Prayagraj, Uttar Pradesh. The platform runs on AWS, so where the rendering happens has nothing to do with where we sit.

23 MIG Flats, Shiv Shakti Colony
Prayagraj, Uttar Pradesh
India

Bring us the next thing worth making.

We are early, which means the briefs we take now shape what the platform becomes.