Trusted By 20+ Companies Across Industries
Built by engineers. Trusted by leading platforms.
Our partnerships, certifications, and engineering expertise help organizations build with confidence across cloud, Kubernetes, security, and AI.
Amazon Web Services (AWS Partner) - Select Tier Services
We help teams build secure, resilient, and cost-efficient AWS environments designed for long-term growth.
From infrastructure to intelligence.
Our services are designed to help engineering teams move faster, operate reliably, and scale without complexity becoming the bottleneck.
Engineering Velocity
Build, test, and ship software faster without creating operational chaos.
Reduction in deployment bottlenecks and engineering handoffs.
Cloud & Infrastructure
Design cloud foundations that stay reliable as your systems and teams grow.
Lower cloud costs through optimized infrastructure and automation.
Reliability & Resilience
Improve system stability, reduce downtime, and make incidents easier to manage.
Faster detection and recovery from production incidents.
AI in Production
Take AI initiatives from experimentation to production with confidence.
Faster deployment of machine learning and AI-powered systems.
Whatever's slowing your team down, we've solved it before.
Our approach
From assessment to ownership. In four practical steps.
Most firms advise. Some implement. Very few stay accountable for the outcome. Here's the difference.
Step 1
Diagnose
We assess your delivery pipelines, infrastructure, security posture, and operational maturity to identify the bottlenecks holding your team back.
Step 2
Embed
Our senior engineers become part of your team, working inside your workflows, standups, repositories, and communication channels.
Step 3
Ship
We implement improvements, deploy production-ready solutions, and track measurable outcomes from the very beginning.
Step 4
Hand off
We document everything, transfer knowledge, and train your team to confidently own and operate the platform.
From assessment to ownership. In four practical steps.
Most firms advise. Some implement. Very few stay accountable for the outcome. Here’s the difference.
STEP 1
Diagnose
We assess your delivery pipelines, infrastructure, security posture, and operational maturity to identify the bottlenecks holding your team back.
STEP 2
Embed
Our senior engineers become part of your team, working inside your workflows, standups, repositories, and communication channels.
STEP 3
Ship
We implement improvements, deploy production-ready solutions, and track measurable outcomes from the very beginning.
STEP 4
Hand off
We document everything, transfer knowledge, and train your team to confidently own and operate the platform.
STEP 1
Diagnose
We assess your delivery pipelines, infrastructure, security posture, and operational maturity to identify the bottlenecks holding your team back.
STEP 2
Embed
Our senior engineers become part of your team, working inside your workflows, standups, repositories, and communication channels.
STEP 3
Ship
We implement improvements, deploy production-ready solutions, and track measurable outcomes from the very beginning.
STEP 4
Hand off
We document everything, transfer knowledge, and train your team to confidently own and operate the platform.
From assessment to ownership. In four practical steps.
Most firms advise. Some implement. Very few stay accountable for the outcome. Here’s the difference.
Diagnose
We assess your delivery pipelines, infrastructure, security posture, and operational maturity to identify the bottlenecks holding your team back.
Embed
Our senior engineers become part of your team, working inside your workflows, standups, repositories, and communication channels.
Ship
We implement improvements, deploy production-ready solutions, and track measurable outcomes from the very beginning.
Hand off
We document everything, transfer knowledge, and train your team to confidently own and operate the platform.
Your stack is complex. Working with it shouldn't be.
Whether you’re running on AWS, Azure, GCP, Kubernetes, Terraform, Jenkins, Datadog, GitLab, or a mix of everything, we integrate with the tools your team already relies on.
Inside the systems we helped transform
Real engineering challenges. Real implementations. Real business outcomes.
Enterprise AI Observability and Model Governance on Azure
Automating Infrastructure Deployment Using AWS CDK and CloudFormation
AWS Cloud Cost Optimization for an AI-Driven Pathology Company
Not just another consulting partner.
Anyone can identify a problem. The value is in solving it, transferring it, and making sure it stays solved.
What Matters
Production-ready outcomes
Hands-on engineering execution
Embedded partnership model
Knowledge transfer included
AI-native approach
Ownership after engagement
Yes
Yes
Yes
Yes
Yes
Yes
Big 4
Sometimes
Rarely
Rarely
Sometimes
Advisory only
Rarely
SI
Sometimes
Sometimes
No
Limited
Limited
No
Staff Aug
No
No
Yes
No
No
No
Frequently asked questions
Honest answers to the questions that matter before you commit to a project, platform, or transformation.
Can't find answers what you're looking for?
How is Techanek different from a traditional consulting firm?
Most consulting firms deliver recommendations. We help implement them. Our engineers work alongside your team, contribute directly to your workflows, and focus on measurable improvements in delivery, reliability, and operational efficiency.
Do you work with our existing cloud and technology stack?
Yes. We work across AWS, Azure, GCP, Kubernetes, Terraform, GitLab, Jenkins, Datadog, and many other technologies. Our recommendations are based on what fits your environment, not a preferred vendor ecosystem.
Can you support our team without replacing it?
Absolutely. Our goal is to strengthen your engineering capabilities, not create dependency. We embed with your team, transfer knowledge, and ensure your engineers can confidently operate the platform after the engagement ends.
When can we expect to see results?
Most engagements start with an assessment and roadmap, but implementation begins quickly. Clients typically start seeing measurable improvements in deployment velocity, reliability, or operational efficiency within the first few weeks.
Do you only work with large enterprises?
No. We work with scaling startups, high-growth technology companies, and enterprise organizations. The common factor isn’t company size. It’s engineering complexity.
Can you help us with AI and MLOps initiatives?
Yes. We help organizations operationalize AI through MLOps consulting, platform engineering, automation, and agentic workflows that move models from experimentation into production environments
Can't find answers what you're looking for?
From cloud to AI, we help teams scale without the chaos.
Engineering expertise across the systems, platforms, and practices that power modern technology organizations.
Move to the cloud with confidence, not surprise bills and operational complexity.
Scale containers, platforms, and infrastructure without building a massive operations team.
Strengthen security without slowing releases, reviews, or developer velocity.
Turn AI experiments into production systems that teams can trust and maintain.
Engineering leadership backed by real outcomes.
The best partnerships are built on trust, expertise, and measurable impact. That’s what we bring to every engagement.
“Techanek has contributed significantly to the success of our business and to the success of our mutual clients.”
Krys Armatys
“Techanek transformed our infrastructure with their DevOps expertise. Their CI/CD pipelines and monitoring tools reduced our downtime and made our deployments noticeably more efficient.”
Markus Heitkoetter
(Founder & CEO, Rockwell Trading
“Techanek cut our cloud costs by 35% and streamlined our delivery process end to end. Their DevOps expertise made our infrastructure leaner and our releases far more reliable.”
Devansh Shah
(Co-Founder, Pucho.ai)
Insights from the front lines of engineering
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Let's connect
Drop us an enquiry and we will get back in the next 24 hours.
info@techanek.com
Phone
+91 83201 46727
Trusted by 20+ companies across industries
