Labels each claim on this page as evidence, belief, hypothesis, illustration or commitment. Take part
7:10 am: before the shutters go up 6:40 pm: the bus route 8:15 pm: after dinner

Illustration: a street of homes and small shops, drawn at your local time of day. Lights come on in some windows. Three of them link to the moments below.

You know a problem worth solving.

Maybe you live with it every day. Maybe you've watched it wear down people you care about. Sevarth starts there, with the people closest to a problem, and works with them toward a response that helps and can keep going.

Belief

This is how we intend to work. We don't yet have results to show that it works.

Share a problem See three ordinary moments

A street at the time of day where you are.

Most problems worth solving look ordinary.

They show up as a lost hour, a confusing letter, an evening that slipped away. Here are three moments many people will recognize. We chose them because we have lived versions of them ourselves.

Illustrations Written to help imagine a better day. They are not products Sevarth has built, and the people are not real clients.

7:10 am

Before the shutters go up

As it is

Forty-one messages across four apps. A supplier's new prices are buried in a group chat. A rule about food labels changed last week, in a document nobody has had time to read. A customer waits while the owner scrolls. Her daughter's concert is at four. She probably won't make it.

As it could be

One short note each morning. Three things changed and one needs her decision, and each line shows where it came from. She deals with it in a minute, serves the customer, and closes at half past three.

What it would take: trusted sources gathered in one place, summaries that show their working, and decisions left with the owner.

Hypothesis

Who might pay: a trade association or supplier network, if missed changes cost its members money. Untested.

6:40 pm

The bus route

As it is

A flyer says the route ends in March. The neighborhood chat says the plan was cancelled. The city's proposal runs to sixty pages. The new stop would be two streets away, at a curb with no ramp. He has something important to say. By Thursday's meeting he still isn't sure what is true, so he stays home.

As it could be

One page sets out what is decided, what is proposed and what is still open, each with its source. There is a clear place to send evidence, so he sends a photo of the curb. On Thursday he goes to the meeting knowing what he wants to ask.

What it would take: plain-language comparisons with sources, and a public process that can take in evidence from the people a decision affects.

Hypothesis

Who might pay: a city service that needs better input before it decides. Untested.

8:15 pm

After dinner

As it is

The dishes are nearly done. On the sofa, one video ends and the next starts on its own. "How was school?" "Fine." Nobody chose this evening. It just happened again.

As it could be

At dinner she asked why bread rises. Now a jar of yeast and flour sits on the table, and the tablet is asking her questions back. Warm water or cold? What do you think will happen? Her dad leans in. He doesn't know either.

What it would take: tools built around curiosity and judgment rather than time spent watching, shaped by the parents and teachers who know the children.

Hypothesis

Who might pay: schools, libraries or families. It must not depend on advertising or time on screen. Untested.

We are in these windows too. The problems we choose to solve now shape the ordinary days our future selves will live, and the ones the next generation inherits.

We can build almost anything now. Choosing what deserves to be built is harder.

Software that once took a team a year can now take a few people a few weeks. That is extraordinary. But capability doesn't tell us what deserves our effort, and attention flows easily toward what is new and impressive. Problems that shape ordinary days stay unsolved because they are unglamorous, or because the people who understand them are not in the room.

Belief

An observation from two decades of working in technology, not a measured figure.

What problem, if solved, would make life meaningfully better?

The question Sevarth starts with, before any question about technology or funding.

Two words that share a letter.

Seva and arth share the letter a. Joined at that letter, they make Sevarth.

Seva is usually translated from Sanskrit and Hindi as service. Arth (artha in Sanskrit) carries meaning and purpose, and also the material means to live well. Joined at the letter they share, they make Sevarth. That shared a is our mark, because the work belongs where service and lasting value meet.

Evidence and belief

The meanings follow standard references on Sanskrit terms. The idea that the work lives where they meet is our own reading, not an etymology.

Seva

Service that starts with real needs. People who live with a problem help define it, test responses and decide what counts as better. Nobody arrives to rescue anyone. Everyone involved has a stake.

Arth

Purpose with the means to last. A response that helps but can't pay its way fades when a grant ends or a volunteer burns out. So from the start we ask who benefits, who pays, and why.

Sevarth was founded by Devesh Ginodia after more than twenty years in technology, data, AI and enterprise transformation. That work showed how much technology can do. Sevarth puts the same experience to a different question: what should it be used for?

The outlook behind it draws on Indian philosophy about duty, action and responsibility. In practice it comes down to principles most people share. Do the work in front of you with care. Own its consequences. Leave things better for the people who come after you, including the person you will be.

Belief

The founder's convictions. They guide our choices; they are not claims anyone has to accept.

How an idea earns its next step.

Every problem we take on moves through five stages. Each stage has to earn the next, and some ideas should stop. When the evidence says go back a step, we go back.

Belief

This is our intended process. If it changes, this page will say so.

Three questions travel with every stage

Value
Is this worth doing for the people affected, and what evidence would show it?
Trust
Are we keeping our commitments, and respecting people's dignity and choices?
Transparency
Can anyone see our evidence, assumptions and incentives, and question them?

Transparency starts here. labels every claim on this page.

  1. A problem worth solving

    Who lives with it, how often, and what it costs them, described in their own words.

    Moves on when solving it would make ordinary days meaningfully better.

  2. Understanding and evidence

    What is already known, what has been tried, and what failed and why.

    Moves on when we can show what we know and say plainly what we don't.

  3. A response you can test

    The smallest version that could help, tried with the people affected.

    Moves on when it helps, by their measure, not ours.

  4. A model that pays its way

    Who benefits, who pays, why they would pay, and what it costs to deliver.

    Moves on when it can last without shutting out the people it is for.

  5. Growing responsibly

    Reaching more people only as fast as quality and trust allow.

    Keeps going while we keep our promises to the people already using it.

Good intentions don't pay for delivery.

A problem that matters doesn't automatically come with a way to fund the answer. So for every idea we ask four plain questions, early, and we write the answers down.

  • Who benefits?
  • Who pays, and why would they?
  • What does it cost to deliver, and to keep delivering?
  • How do people who can't pay still get access?

Our first model, still being tested: organizations that already carry the cost of a problem, such as a school network, a city service, an employer or a trade association, pay for focused work to understand it and test a response. What we learn goes back to the people affected and, with their consent, into the open.

Hypothesis

Not yet validated. We are testing two things: whether organizations will pay for this, and whether the people affected find the result useful.

We think purpose and profit can pull in the same direction when incentives are clear. Where they pull apart, we would rather say so than hide it.

Where Sevarth is today.

As of

In place

  • A founder with more than twenty years in technology, data, AI and enterprise transformation.
  • A way of choosing and testing problems, set out on this page.
  • A first area of inquiry: the everyday problems of information, time and attention in the moments above.

Not yet

  • Products, pilots or results.
  • Partners or customers to name.
  • A community. That is what the invitation below is for.
Commitment

We will update this list as things change, including when something we try doesn't work.

Start with one small step.

If something here sounds like your life or your work, tell us. It takes a few minutes, and you choose how much to share.

How we handle what you share

  • We only ask for what we need to understand your note and, if you want, reply to it.
  • Your email is used to reply about this note. It is never added to a mailing list or shared.
  • We will never quote you without asking. Nothing is pre-ticked.
Commitment

These are promises Sevarth intends to keep. Hold us to them.

What would you like to do?

A few sentences is plenty. Use your own words.

For example: shop owners on my street, my parents, nurses on night shifts.

How close are you to it? Optional

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