AI that does real work inside the software you already use.

We build AI for specific jobs: forecasting demand, reading invoices, answering questions from your documents and recommending products. Each one is measured against how the work was done before.

AI and machine learning developmentPick your modules
  • ForecastingDemand by item and location
  • Document readingInvoices, POs and forms
  • Chat assistantsAnswers from your documents
  • RecommendationsProducts based on history
  • ClassificationTickets and emails routed
  • Data and safetyAccess by role

What is AI and machine learning development?

Machine learning finds patterns in your past data to predict what comes next. Language models read and write text, so they can pull details from documents or answer questions. Together they can take over slow, repetitive work. The goal is fewer hours spent typing and guessing, not a demo.

We start from one task, not from the technology. We check if your data can support it, build a small version, and measure it against the current way. Then it goes into your ERP, CRM or app, with people reviewing where accuracy matters.

What changes. The everyday problems we hear most, and what fixes them.

  • TodayPurchase orders are based on last year's sales and a guess.

    With AviralA demand forecast by item and branch suggests what to order.

  • TodayStaff type vendor invoices into the system line by line.

    With AviralInvoices are read automatically; staff check and approve the fields.

  • TodayTeam members ask the same policy questions again and again.

    With AviralAn assistant answers from your documents and shows the source.

  • TodayEvery customer sees the same products, whatever they bought before.

    With AviralRecommendations change with each customer's history and behaviour.

A worker entering data at a factory desk

A demand forecast by item and branch suggests what to order.

  • ForecastingOn
  • Document readingOn
  • Chat assistantsOn
  • RecommendationsOn

What's included. Shaped around your process. You only pay for what you need.

  • Forecasting

    • Demand by item and location
    • Seasonality and festival effects
    • Reorder suggestions
  • Document reading

    • Invoices, POs and forms
    • Fields checked against records
    • Human review for low confidence
  • Chat assistants

    • Answers from your documents
    • Sources shown with every answer
    • WhatsApp, web or internal use
  • Recommendations

    • Products based on history
    • Cross-sell at checkout
    • Tested against current results
  • Classification

    • Tickets and emails routed
    • Leads scored by likelihood
    • Anomalies flagged for review
  • Data and safety

    • Access by role
    • Logs of every AI action
    • Consent handled under DPDP

From idea to AI in daily use. Measured at every step.

  1. Pick the task

    One job with a clear before-and-after measure.

  2. Check the data

    See whether your records can support it.

  3. Build a pilot

    A small version tested on real cases.

  4. Compare

    Results measured against the current way.

  5. Roll out

    Built into your tools, with review steps.

AI built into your systems vs a standalone AI tool

Compared onStandalone AI toolBuilt by Aviral
Your dataCopied or uploaded by handRead from your ERP, CRM or files
Where results appearIn a separate toolInside the screens your team uses
Review and approvalsUp to each userBuilt into the workflow
MeasurementRarely trackedCompared with the current way
Access controlTool's own settingsYour roles and permissions

What decides the cost. Every project is priced on its scope, in writing, before work starts.

Get a written proposal
  • The task and how accurate it must be
  • Quality and volume of your existing data
  • Model choice and usage charges from providers
  • Systems it must read from and write to
  • Review steps and audit logging needed

Connects to what you already use.

  • Your ERP or Tally
  • Your CRM
  • Google Workspace
  • Email
  • WhatsApp Business
  • Leading AI models
  • Your databases

Questions we get asked.

Do we need a lot of data to start?

It depends on the task. Forecasting needs a history of sales. Document reading and assistants can start with far less. We check before you commit.

Is our data sent to outside AI providers?

Only if you agree. We explain the options before work starts and handle consent in line with the DPDP Act.

How accurate will it be?

We measure accuracy on your own cases during the pilot. Where mistakes are costly, a person reviews results before they are used.

Can AI work inside our existing software?

Yes. Results can appear inside your ERP, CRM, website or WhatsApp, so your team does not switch tools.

What does an AI project cost?

It depends on the task, data and model usage. We usually suggest a pilot first, and you get a written proposal.

See it running on your data.

Send a few details. We'll call, ask how you work today, and show you the parts that matter to you.

Prefer to talk now? Call +91 83830 08380

30 minutes, on your data, no slides.