AI builds for small and mid-size businesses · any time zone

AI automation and AI agents that do the repetitive work.

Agents, document AI and evals, integrated with the CRM, inbox and tools you already run, so the work stays efficient as you scale. We build it, run it and show the work.

FireOS compliance dashboard with a Form B blocked for a critical defect
FireOS · demo dashboard: a filing with an open defect is blocked
Agriva home page where the search box accepts plain-English queries
Agriva · the search box is a chat
Food Regulatory MCP: ask a labelling rule in plain English
Food rules · ask in plain English, get the source
Agriva listing: seller text tidied, distances measured from map data
Agriva · seller text tidied, facts measured
FireOS: a client approves rectification work from a WhatsApp link
FireOS · client approves work from WhatsApp, no login

Five real screens from live builds

Workflow automation: intake, follow-up, documents, reporting.

CRM · new lead

Voicemail 0:48 · lease dispute
NameR. Alvarez
MatterLease dispute
SourcePhone
OwnerDana
transcribedno duplicate

Intake

An agent takes every call and message and fills the CRM fields itself.

Sequence · quiet leads

Day 1 · introsent
Day 3 · nudgesent
Day 7 · offerneeds Dana
DApprove day 7 for 6 leads?

Follow-up

The sequence runs itself. A person approves what matters.

Listing · broker paste

🔥🔥 PRIME LAND 650 yard HIGHWAY FACING

rate 45lac negotiable call 98xxx

Price₹45,00,000
Area650 sq yd
Distance to highway280 m

Documents

Document AI turns messy text and photos into clean fields and checked facts.

Live on Agriva.

Ask the data

“New leads by source this week?”

Web14
Phone9
Referral6
read-only · cannot change data

Reporting and compliance

Ask in plain English. A filing that breaks the rules cannot go out.

Services

What we build for you.

Four things, and the diagram for each one is the actual shape of what we ship.

01

AI applications and agents

Chat assistants, retrieval over your documents, and bounded agents that act inside your tools. Visual search, classification and forecasting where a model is the right answer, with evals at every step.

02

Document AI

OCR and extraction for IDs, forms, statements and listings. Structured fields, flagged where unsure.

03

API & CRM integration

HubSpot, Salesforce, GoHighLevel, Clio, Google Workspace, Microsoft 365, and anything with an API.

04

Production-ready AI: testing, monitoring, error handling

Evaluation sets, monitoring, drift detection and a log of every action so anything can be undone. We will also review your use case and give you the honest no when AI is the wrong tool.

Case studies

Real estateLendingFire safetyFood regulationFleets
See all use cases →

How we work

Live in weeks, not quarters.

Milestones agreed up front, a written update every week, and one person who runs your project: Ansuj.

  1. Step 01

    Assess

    You describe the week. We map the real workflow and the data, and say whether software is the answer.

  2. Step 02

    Specify

    A written plan: what it may and may not do, who reviews what, the cost and the risks. You approve it.

  3. Step 03

    Build

    Tested on your real cases before it ships. You see progress every week and keep control of priorities.

  4. Step 04

    Operate

    We measure the outcome against what we agreed and iterate. Running it stays cheap, and every action is logged and undoable.

  5. Step 05

    Long-term support

    Maintenance, monitoring, documentation and handover.

Then it runs lean

FAQ

Questions owners ask us.

Anything your team re-types, chases or checks by hand: calls and emails into the CRM, follow-ups, reading forms and IDs, weekly reports, compliance checks. If a person does it the same way every time, software can usually do it with a person checking the edge cases.

Yes. The work we have shipped spans real estate, lending, fire safety, food regulation and fleets. The problems repeat across industries; the tools you already use are what change.

Whatever you already run. HubSpot, Salesforce, GoHighLevel, Clio, QuickBooks, Shopify, Make, Twilio, WhatsApp Business, Google Workspace and Microsoft 365 are common. Anything with an API or an export is fine.

The three people on this page. No account managers, no junior bench, no handoffs. Ansuj builds the AI and backend, Vandan builds the product, Prashant runs strategy and operations.

Thirty minutes. You describe the week, we say what software can take off it and what it cannot. No deck and no quote on the call; the written assessment comes in week one if we go ahead.

Assistants that answer questions are read-only: model-written queries are parsed and allow-listed before they run, and personal-data columns are excluded. Where software does make a change, such as a CRM record or a listing fix, it stores the before and after so a person can undo it.

We say so in the week-one assessment, in writing, with a build, defer or no-build recommendation. Some of the best outcomes are a simpler process change and no software at all.

Anthropic and OpenAI models, with open-weight models where the data has to stay on your own servers. Python and FastAPI on the backend, Next.js and TypeScript on the front, Postgres for state, and MCP where an assistant needs to reach your systems directly. We pick per use case and tell you why.

Singapore and India. We work in your time zone: our clients are in North America, Europe, Asia and Australia, and we keep their hours.

We know where the time goes.

30 minutes with Ansuj. You describe the week; we say what software can take off it and what it cannot. No deck, no quote on the call.

Or email ansuj@vyzma.ai

Ansuj replies personally within one business day.

Book a 30-minute call instead →