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Ten years of shipping.
One team.

Eazetech was founded in 2016 as a frontend studio. Ten years later the same core team builds AI products, produces AI video ads and automates the operations underneath both.

120+
products and projects shipped 2016–2026
38
clients across 11 countries
24
AI products and agents in production
98%
of clients return for a second project

Counts from our own project ledger, 2016 to 2026. Client outcome numbers on this page come from the client’s own systems and are documented in the case study each one links to. Clutch rating 4.9 from 23 reviews.

Man standing in front of people sitting beside table with laptop computers
Ten years of shipping, one team, no handoffs between design and engineering.

How the company got here

Eazetech started in 2016 with two people and one discipline: frontend. That was the work nobody else wanted to own properly — the interface, the states nobody had drawn, the performance problems that only show up on a real device. We took it because it was the part of the product a customer actually touches, and because being good at it was measurable in a way that broad claims are not.

The practice widened from there, and always for the same reason: a client asked for the next piece and we would rather build it than hand it to a stranger. Design came in-house in 2018 so the person drawing the screen was on the call when it broke. Backends followed, then mobile for Corva Bank in 2020, then a Web3 front end for Vaultic in 2021, then a security rebuild for MedArc in 2022 that taught us to treat any unverified output as a liability. None of it was a strategy on a slide. It was the pattern of saying yes to adjacent work and refusing to be bad at it.

In 2023 we put the first LLM features into products that were already live, and by 2024 the decision was explicit: AI-first, with automation as its own practice alongside it. What did not change is the standard the frontend years set. An AI feature that people route around has saved nobody anything, so the interface is part of the engineering, the output shows its sources, and the engagement is judged by what is running in production at the end of it. Ten years in, that is still the whole argument.

the company in six lines

Founded
2016, as a frontend studio
Core team
5 people, plus specialists per engagement
Lines
Software & AI · AI video ads · AI automation
Clients
38 across 11 countries
Engagements
From $5K, typically $15K to $80K
Reply time
One business day, from Alex Novak

Shipped

One milestone a year, from the first client site to agents running in production. Where there is a case study, the number links to it.

  1. 2016

    Two people and a frontend practice

    Eazetech opens as a frontend studio. The first year is interfaces for other people's products: marketing sites, dashboards, and the unglamorous work of making slow pages fast.

  2. 2017

    The first product front end

    A fintech client hands over an entire application interface rather than a page. The team reaches four, and the habit that still holds starts here: the person who designs the screen is on the call when it breaks.

  3. 2018

    Design moves in-house

    We stop taking finished Figma files from agencies and start drawing the interface ourselves, because half of every estimate was going into translating someone else's mockup into something buildable.

  4. 2019

    Marlowe & Co: an 18% lift in checkout conversion

    An eight-week rebuild of a storefront checkout. The first engagement where the client measured the result in their own analytics and the number went on our own ledger.

  5. 2020

    Corva Bank: a mobile app for 1.2 million users

    Sixteen weeks, a full rebuild, and our first engagement at a scale where a bad release is a news story. Mobile becomes a permanent line rather than a favour.

  6. 2021

    Vaultic: wallet UX and a smart-contract front end

    Web3 work, taken on because the interface problems were interesting and the audit discipline was instructive. It taught us to treat an unverified output as a liability, which turned out to be the exact lesson AI needed two years later.

  7. 2022

    MedArc: zero critical findings after a security rebuild

    Twelve weeks rebuilding a healthcare platform's security posture. It set the practice we still run: least privilege, secrets out of code, and access that expires rather than lingers.

  8. 2023

    The first LLM features go to production

    Not pilots. Existing clients get retrieval, extraction and drafting inside products that were already live, which is also where we learn how much of the work is evaluation rather than prompting.

  9. 2024

    AI-first, and an automation practice

    The pivot is made explicit: AI products become the core, and workflow automation on n8n, Make, Zapier and custom pipelines becomes its own line with its own audit week.

  10. 2025

    Coastline Logistics: 698 hours a month reclaimed

    Fourteen manual steps between an order and a dispatch become one trigger and four minutes. The same year, Quanta Realty goes from nine days of onboarding paperwork to one, and Arclight starts shipping 60 ad variants a month.

  11. 2026

    Agents in production, not demos

    Nordwind decides claims 42% faster, Veyra closes 61% of tickets without a human, Bastion Health launches an AI care planner in eight weeks, and Helio Home passes 340 AI ads at 3.1x blended ROAS. Twenty-four AI products and agents are running in production.

The people who do the work

Five people are the core team. Specialists join per engagement, but the names below are on every project, and the person who sells the work is the person who delivers it.

AN

Alex Novak

Delivery director

Product lead on the Nordwind claims workbench and the Veyra support copilot, and the person who reads every enquiry that arrives here. Thirty-plus shipped products since 2016.

PS

Priya Shah

AI engineer

Built the citation-first agent layer at Nordwind and the evaluation harness behind Veyra, where 61% of tickets now close without a human. Also wrote the matching logic in the Coastline run.

TL

Tomas Lind

Designer

Designed the claims workbench that reached 95% adoption in its first week, and keeps the hook library that Helio Home's ad batches are scripted from.

MR

Mia Ruiz

Producer, AI video ads

Shipped 340 finished ads for Helio Home over twelve months on a weekly cadence, and 120 localised ad sets across six markets for Fairway Games.

ID

Ines Duarte

Platform and security lead

Ran the MedArc rebuild that closed with zero critical findings, and sets up the client-account deployments and access expiry described on our security page.

Four things we hold to

01

Production, not pilots

We measure an engagement by what is running for real users at the end of it, not by what was demonstrated in the middle.

Bastion Health had an AI care planner live in 8 weeks, not a proof of concept in 8 weeks.

02

Show the evidence

Any output a person has to trust carries its sources, and any number we publish names the system it came from.

Every Nordwind recommendation cites the source documents behind it — nine citations on a typical claim.

03

Design is the adoption plan

A model that people route around has not saved anyone anything, so the interface is treated as part of the engineering, not a layer applied afterwards.

The Nordwind workbench hit 95% adoption in week one; the budgeted adoption fight never happened.

04

Hand it over and leave

Everything runs in your accounts, under your ownership, with the documentation needed to change it without us.

Coastline Logistics maintains its own order-operations run in its own infrastructure, with 30 days of support and no retainer required.

Certifications and partnerships

The plain version, including the badges we do not have.

Clutch
Verified profile, 4.9 from 23 client reviews.
n8n
Build partner. We ship on both n8n Cloud and self-hosted instances, and hand the workflows over for the client to edit.
AWS and Google Cloud
We build inside client accounts on both. Infrastructure is defined in code in your repository, not configured by hand in ours.
Vercel
Standard deployment target for Next.js work, including this site.
Data protection
GDPR-aligned handling, a signed DPA as standard, and sub-processors named before any data moves.
What we do not hold
Eazetech is not ISO 27001 or SOC 2 certified. If your procurement requires either, we work inside your certified environment and complete your vendor review — which we have done nine times since 2022.

How client code, data and access are actually handled is written out in full on the security page — where things run, what the model endpoints retain, and when our access is removed.

Want the same team on your project?

Ten years, 120+ projects, five people who have shipped together. A thirty-minute scoping call answers fit and gives you a rough estimate, with a reply within one business day from Alex Novak.

Get an estimate