About

Built on Engineering Depth, Delivered with Precision

Black Mirror is a Hyderabad-based technology company founded in 2018. We build production-grade AI, data and cloud systems for enterprises that need reliable technology delivery, not just consulting advice.

Our Story

Black Mirror was founded in 2018 in Hyderabad with a clear purpose: to build technology systems that actually work in production. We started with data engineering and cloud infrastructure, and expanded into AI and machine learning as enterprise demand for these capabilities grew.

Over eight years, we have developed deep expertise across the full technology stack — from data pipelines and ML models to cloud platforms and enterprise software. Our team combines engineering rigour with practical delivery experience across telecom, retail and enterprise technology sectors.

We are based in Hyderabad, one of India's leading technology hubs, and work with organisations that need production-ready systems — not prototypes or proof-of-concept projects that never reach deployment.

Our Mission

To deliver production-grade AI, data and cloud systems that create measurable business value for the organisations we work with — built with engineering precision and operated with reliability.

Our Vision

To be the technology partner that enterprises in India and beyond trust to design, build and operate their most critical AI, data and cloud systems.

History

Eight years of delivery.

2018

Founded in Hyderabad

Black Mirror established with a focus on data engineering and cloud infrastructure. First production deployments delivered within the year.

2019

Cloud & DevOps Practice

Expanded into cloud architecture and DevOps automation. Built CI/CD and Kubernetes-based delivery pipelines for enterprise clients.

2020

Machine Learning Capability

Launched ML engineering practice. Delivered first end-to-end ML pipelines in production across telecom and retail verticals.

2021

Enterprise Software Division

Formed dedicated software engineering team for custom application development, APIs and system integration work.

2022

AI & Generative AI

Invested early in large language model applications, RAG systems and AI agents ahead of the broader market adoption curve.

2023

MirrorAI Platform

Launched MirrorAI Platform — our enterprise AI orchestration layer built from patterns across multiple production deployments.

2024

DataCore & Accelerators

Released DataCore data platform and four solution accelerators to compress delivery timelines for common enterprise use cases.

2025–26

Full-Stack AI Delivery

Operating across six technology domains with a track record of 100% production deployments across three industry verticals.

2018
Year Established
8+
Years of Technology Delivery
Hyderabad
Headquarters
6
Core Technology Domains
Expertise

Technical Capabilities

Artificial Intelligence & Generative AI

LLM applications, RAG systems, AI agents, computer vision and NLP

Machine Learning & MLOps

End-to-end ML pipelines, model deployment, monitoring and retraining

Data Engineering

Pipelines, warehouses, streaming systems and analytics platforms

Cloud & DevOps

AWS, Azure, GCP, Kubernetes, Terraform and CI/CD automation

Enterprise Software

Custom applications, APIs, microservices and system integrations

Automation & AIOps

Workflow automation, intelligent monitoring and operational AI

Values

How we work.

01

Engineering Rigour

We apply software engineering best practices to every system we build — version control, testing, documentation and code review are not optional.

02

Production First

We build systems designed to run in production, not demos. Reliability, observability and maintainability are built in from the start.

03

Honest Assessment

We tell clients what is technically feasible and what is not. We do not oversell capabilities or underestimate complexity.

04

Continuous Improvement

Technology evolves rapidly. We invest in keeping our team's skills current across AI, cloud and data engineering disciplines.

Work With Our Team

Discuss your technology requirements with our engineers. We'll give you an honest assessment and a clear delivery plan.