Company
An engineering firm, not an innovation theatre.
Digiaeon designs, builds and operates production software from Chandigarh, India. Small team, senior people, and the same engineers on the call and in the repository.
- Entity
- Digiaeon Services Pvt Ltd
- Based
- Chandigarh, India
- Founded
- 2024
- Practice
- Applied AI · Data · Product · Platform
Mission
Digiaeon builds software that keeps working after the people who built it have gone home.
Most companies do not have a technology problem so much as a scattering problem — work spread across spreadsheets, inboxes, half-finished scripts and one person’s memory. We turn that into a system: something written down, measured, owned by a team, and able to be changed next year without fear. Applied AI is part of how we do that, not the point of it.
- Design
- Build
- Operate
- Hand over
Positioning
Where we sit, and where we don’t.
A firm is defined as much by the work it declines as by the work it takes. Both halves are written down here.
What we are
We are an engineering firm from Chandigarh that designs, builds and operates production systems — agentic AI and retrieval, data platforms, custom product software, and the cloud infrastructure underneath. The work is done by the people who scoped it. There is no bench, no handover to a junior pod after the pitch, and no layer of account management between a client and the engineer who wrote the code.
What we are not
We are not a staffing arm, and we are not an innovation lab. A body-shop sells hours and is indifferent to whether the thing works; a lab sells a demo and disappears before the second week of real traffic. We take responsibility for the system in production — the retries, the cost ceilings, the on-call runbook, the migration path off whatever we chose.
We are also not the right firm for everything. We do not run advertising campaigns, we do not resell licences, and we will say no to work that is better solved by a product someone already sells. What we take on is the part that has to be built, because it encodes how a particular business actually runs.
Engineering principles
Six rules the work actually runs on.
Not values on a wall. These are the arguments we have already had, settled, and now apply by default — including when they cost us time.
We instrument before we optimise
The first commit on a performance problem is a trace, not a rewrite. Without spans, structured logs and a p99 that someone is watching, every optimisation is a guess wearing a benchmark. Often the fix is one unindexed query or a retry storm — the kind of thing an afternoon of OpenTelemetry data surfaces and a week of intuition does not.
Reversible decisions fast, irreversible decisions slow
A component name, a library choice, a page layout — decide in minutes and move; the cost of undoing it is one pull request. A database engine, a tenancy model, a public API contract, a PII boundary: those get written up with the tradeoff stated, because unwinding them costs a quarter. Most teams get this exactly backwards and argue for three days about the thing they could have changed in ten minutes.
Boring infrastructure until it genuinely hurts
Postgres until the query plan says otherwise. A queue before a stream. One service before four. Every distributed component added early buys a capability the team does not need yet and charges rent forever in operational surface. When a workload truly outgrows the boring option — analytical scans hitting the write path, fan-out that a single node cannot absorb — we move that one workload, and say so in writing.
If it isn’t scored, it isn’t shipped
Anything non-deterministic gets an evaluation set before it gets a feature flag: golden cases, adversarial cases, and every real failure ever reported, versioned in the repository and run on each pull request. This is what makes a prompt change or a model upgrade an engineering decision rather than an argument about whose examples were more convincing.
Every system ships with an off switch
Feature flags on the risky path, a kill switch for any autonomous loop, budget ceilings on token and compute spend, and a rollback that has been rehearsed rather than assumed. An agent that cannot be stopped in one action from a dashboard is not finished. Neither is a migration without a tested reverse path.
The handover is written while we still remember
Runbooks, architecture decision records and failure drills are produced during the build, not scraped together in the final week. A client team should be able to take a 3am page on a system we built and resolve it from the runbook alone. If that is not true, the engagement is not complete, whatever the invoice says.
Founder
Ramandeep Singh Aulakh
Founder · Chandigarh, India
Builds systems whose output has to hold up when somebody disagrees with it.
Where we are
Chandigarh, and inside your repositories.
Digiaeon is based in Chandigarh, India. One place — we don’t claim a second office, and we don’t publish a headcount we would have to defend.
Engagements run remotely by default: your version control, your CI, your cloud account, so the audit trail belongs to you from the first commit. Where a phase genuinely needs people in one room — a discovery week, a cutover, an incident drill — we travel.
- Base
- Chandigarh, India
- Working hours
- IST, UTC+5:30
- Delivery
- Remote-first, travel where a phase needs it
- Direct
- hello@digiaeon.com
Next step
Bring us the problem you keep deferring.
A 45-minute working session. We'll tell you what we'd build, what we'd not build, and roughly what it costs. No deck.