Engineering consultancy · AI workflows, platform and backend systems

We build AI workflows and agents that take real work off your team.

An engineering consultancy built on 10 years of platform and backend systems work, from startups to Microsoft.

Works with
Engineering teams of 40 to 300 using AI coding tools
Engagements
Audit, scoped build, ongoing advisory
Based in
Bengaluru, India
Background
Microsoft, SeeHow, Buildsys

26

repositories running an AI review pipeline our lead engineer built, up from 4

45 → 75%

of AI review comments acted on by engineers

6 → 1 mo

feature time-to-market on Azure Marketplace

10 yrs

of platform and backend engineering behind the practice

01 / Services

Four ways we can help

01

AI workflows and agents

LLM pipelines and custom agents built into the tools your team already uses, with per-team configuration so they fit how you actually work.

  • Automated code review that engineers act on
  • Custom agents and skills for your codebase
  • Automation across GitHub, Jira and CI

02

Engineering productivity

Tooling that removes the waiting from delivery, so changes merge and ship without babysitting.

  • Merge queues
  • Faster CI pipelines
  • Backport and release tooling

03

Cloud and backend systems

Infrastructure and storage layers designed to hold up at scale on GCP, Azure or AWS.

  • Terraform structure and review
  • Storage and data layers
  • Compute cost reduction

04

Fractional technical leadership

Part-time technical leadership for teams that need a senior engineer in the room.

  • Architecture reviews
  • Project planning
  • Team direction

Tools we work in

Python · TypeScript · Java · C# · Kubernetes · Terraform · GCP · Azure · AWS · PostgreSQL · Redis · GitHub Actions

02 / Results

Work that changed the numbers

Delivered by our lead engineer in staff and tech lead roles at the companies named.

A distributed SQL database company

An AI review pipeline rolled out across the engineering org

Built with per-repository configuration and pluggable custom skills and agents, so each team could shape reviews to its own codebase.

4 → 26

repositories adopted it; comments addressed rose from 45% to 75%

A distributed SQL database company

A two-way GitHub and Jira sync that heals itself

Replaced a brittle sync that overwrote changes and could not recover from outages with a reconciliation-based service that keeps both trackers consistent.

Two-way

sync that recovers from outages without manual repair

Microsoft

Shared platform features for Azure Marketplace

Built shared platform features for the marketplace, and led the Apache Airflow on Astro integration into Public Preview as tech lead.

6 → 1 mo

feature time-to-market

SeeHow

Sensor fusion and signal processing for sports analytics

Built the sensor-fusion module and processing pipeline behind a product named a Top 5 Innovative Startup at TechCrunch Disrupt SF.

+30%

event detection, with processing time cut by 50%

03 / How we work

Three ways to start

Audit

A short review of your workflow, CI or architecture that ends in a written list of what to fix first.

Scoped build

One defined system, designed, built and handed over with the documentation your team needs to own it.

Ongoing advisory

A regular slot for architecture reviews, planning and unblocking your engineers.

04 / Questions

Common questions

What does Anottr do?

Anottr is an engineering consultancy that builds AI workflows and agents for software teams. The focus is AI code review, developer productivity (merge queues, CI pipelines and release tooling) and cloud and backend systems.

Who is Anottr for?

Software companies and agencies whose engineers have adopted AI coding tools and now need code review, CI and delivery to keep up. Teams typically have between 40 and 300 engineers.

How do you measure whether AI code review is working?

By the share of AI review comments that engineers act on, not by how many comments the tool posts. On a review pipeline our lead engineer built across 26 repositories, that share rose from 45% to 75%.

How does an engagement start?

Usually with a short audit of your review process, CI or delivery workflow that ends in a written list of what to fix first. From there, a scoped build or ongoing advisory.

Which tools and platforms do you work with?

GitHub and GitHub Actions, Jira, Terraform and Kubernetes, on GCP, Azure or AWS, with Python, TypeScript, Java and C#.

Where are you based?

Bengaluru, India. We work remotely.

How do I get in touch?

Book a 30-minute call at https://calendar.app.google/S6imMotZr6WxQS5v8 or email rishabh@anottr.com.

05 / Contact

Tell us what is slowing your team down.

Book a call, or send a few lines about the problem. We will reply with whether we can help and how we would approach it.