About Cypherox

Engineering What
Businesses Need Next

Cypherox Technologies builds AI, software, cloud and data systems for businesses that run on them daily. Founded in 2015, we take products from architecture through deployment and keep them dependable in production, where reliability and running cost decide the return.

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Years engineering
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Cypherox TechnologiesEngineering-Led Technology Partner
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AI & Machine LearningProduction models, anomaly engines, LLM apps
Custom Software EngineeringWeb, mobile, APIs and enterprise platforms
Cloud & InfrastructureAWS, GCP, Azure — multi-region, zero-downtime
Dedicated Engineering TeamsPre-vetted engineers embedded in your sprints
Our history

Built One Engineering Problem at a Time

Cypherox was started in India in 2015 with a single rule: to take full responsibility for the build, from the stage of architecture right through to release. Since its early clients had no in-house technical team, any work could not be handed back in an incomplete state and it was not possible to place the blame on a handover.

The demand caused the work to extend beyond websites and apps. Because of integrations, cloud infrastructure, data pipelines and internal platforms, projects which had originally been short became multi-year engagements and staffing was carried out in response to these problems rather than according to a growth strategy. Offices were opened in Ahmedabad and London as the client base expanded across different markets.

The work now involves the development by the teams of AI agents, machine learning products and custom platforms for mid-market companies, after which they remain to operate them; the nature of the work has therefore changed. The engineering standard used for it has not.

Anyone can make software work in a demo. Keeping it working in year three is the actual engineering problem

Cypherox engineering principle
2015

Founded in Rajkot

A small engineering team delivering web and mobile products for clients without technical staff.

2017

Enterprise systems practice

Work moved into ERP, CRM and internal operations platforms with real integration surface.

2019

Cloud and DevOps capability

Delivery pipelines, infrastructure as code and monitoring became standard on every engagement.

2022

Machine learning in products

Scoring, forecasting and detection models shipped inside client systems rather than as pilots.

2025

Production AI engineering

Agents integrated with live CRM, ERP and internal APIs, governed and monitored in production.

How we work

The Standards Behind Every Decision

Values matter only when they change what ships. These six govern how Cypherox teams make commitments, trade offs and technical calls.

Own the outcome

A Cypherox team remains accountable after release, including for the failures nobody predicted while the system was being built.

Decide with evidence

Technical arguments get settled with load figures, cost models and measurement rather than preference or whichever framework is currently popular.

Say the hard thing

Clients hear when a deadline is unrealistic, or when a requested feature will cost more to maintain than it will ever return.

Leave nothing locked

Systems, credentials and documentation belong to the client. No engagement should depend on Cypherox being the only team who understands it.

Protect what matters

Data handling, access control and patching are treated as company obligations, not tasks that a later security review is expected to catch.

Fix the cause

Teams correct the process that produced a defect, not only the defect, so the same class of problem stops appearing.

Executive Leadership

The Engineer Who Started Cypherox

Cypherox was founded and is still led by an engineer. Direction, technical standards and client commitments come from someone who reads the architecture, not only the summary.

vipinraj-nair-img
Founder and CEO

Vipinraj Nair

Started Cypherox in India in 2015 and has led it through every stage since, from the first web and mobile projects to enterprise platforms, cloud engineering and production AI work. Sets the engineering standard the company delivers against, stays close to architecture direction and client commitments and decides how the technical capability grows next.

Scale and reach

Delivery Across Markets and Time Zones

Cypherox operates from four offices across India and the United Kingdom, delivering for mid market and enterprise clients in several international markets.

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Projects delivered across industries since 2015
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AI projects engineered and taken into production
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Engineers, designers and delivery staff on payroll
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Client retention across active engagements
Engineering philosophy

How the Work Actually Gets Done

Reviewed before it merges

Every change passes review against agreed standards. Formatting is automated, so reviewers spend their attention on logic, edge cases and how the code behaves when something fails.

Security decided in architecture

Access control, data handling and dependency policy are settled while the system is being designed, then verified again before any release touches production records.

Capacity planned, not promised

Infrastructure is sized against realistic load with its limits written down, so the next capacity decision is an informed one rather than an emergency.

Documentation ships with code

Architecture notes, runbooks and integration maps are delivered alongside the build, because a system nobody else can operate is not a finished system.

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Work that ships

Engineers watch their code run in production for real users, not in a proof of concept that gets quietly shelved after a demo.

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Learning on the clock

Time is set aside for certification, internal sessions and exploratory work on the technologies the company expects to need nexts.

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Small teams, real ownership

Projects run with small groups who make their own technical calls and answer for the results rather than escalating every decision upward.

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Feedback that lands

People hear where work fell short and where it went well, close enough to the event that the feedback can still change something.

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Decisions explained

Staffing, priorities and project direction are explained rather than announced, so teams understand the reasoning behind a change before it reaches them.

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Room to disagree

Technical disagreement is expected and argued in the open. Seniority helps settle it faster, but it does not settle it on its own.

Life at Cypherox

A Workplace Built Around the Work

Cypherox runs on small teams carrying real responsibility. Engineers speak directly to clients, make architecture calls and follow those decisions through delivery instead of passing them to someone else halfway.

Progression comes from harder problems rather than from titles. People move across AI, cloud, data and product engineering and the company funds the learning each of those moves requires.

Hybrid working Learning budget Internal tech talks Flexible hours Health cover
Work with us

Tell Us What You Are Trying to Build

Bring the problem, the constraints and whatever already exists. A short call is usually enough to establish whether Cypherox is the right team and what the build would realistically involve.