SRE · AI-Native · Partner-Led

Never let infrastructure be the reason
your AI product falls behind.

Coneixedor brings Google-grade SRE thinking to AI startups who cannot afford a Google-sized team. We design, build, and run infrastructure built for AI-speed. So your team ships on Fridays without fear, your engineers sleep through on-call, and one senior partner stays accountable to your outcomes from the first call to the last.

Book a Free Infrastructure Audit →30 minutes. Senior partner. No pitch.

Trusted by fintech, healthtech, and edtech founders. Ravi Mohan, Director, BSEdu World: "Not a single handoff. I always knew exactly who to call."

Technologies & Tools We Master

Leveraging industry-leading platforms and cutting-edge tools

AWS cloud computing services - Coneixedor certified partner
Microsoft Azure cloud platform - Coneixedor certified partner
Google Cloud Platform cloud services - Coneixedor certified partner
Kubernetes orchestration platform for scalable cloud infrastructure
Docker containerization platform for DevOps automation
AWS cloud computing services - Coneixedor certified partner
Microsoft Azure cloud platform - Coneixedor certified partner
Google Cloud Platform cloud services - Coneixedor certified partner
Kubernetes orchestration platform for scalable cloud infrastructure
Docker containerization platform for DevOps automation
AWS cloud computing services - Coneixedor certified partner
Microsoft Azure cloud platform - Coneixedor certified partner
Google Cloud Platform cloud services - Coneixedor certified partner
Kubernetes orchestration platform for scalable cloud infrastructure
Docker containerization platform for DevOps automation
Terraform infrastructure as code tool for cloud automation
Jenkins CI/CD automation platform for DevOps pipelines
Ansible configuration management tool for IT automation
GitHub Actions CI/CD automation platform
Grafana observability and dashboarding platform
Terraform infrastructure as code tool for cloud automation
Jenkins CI/CD automation platform for DevOps pipelines
Ansible configuration management tool for IT automation
GitHub Actions CI/CD automation platform
Grafana observability and dashboarding platform
Terraform infrastructure as code tool for cloud automation
Jenkins CI/CD automation platform for DevOps pipelines
Ansible configuration management tool for IT automation
GitHub Actions CI/CD automation platform
Grafana observability and dashboarding platform
Datadog monitoring and observability platform for cloud infrastructure
OpenAI artificial intelligence platform for AI-powered solutions
ArgoCD GitOps continuous delivery platform for Kubernetes
Prometheus monitoring and alerting toolkit for cloud infrastructure
PagerDuty incident management and on-call platform
Datadog monitoring and observability platform for cloud infrastructure
OpenAI artificial intelligence platform for AI-powered solutions
ArgoCD GitOps continuous delivery platform for Kubernetes
Prometheus monitoring and alerting toolkit for cloud infrastructure
PagerDuty incident management and on-call platform
Datadog monitoring and observability platform for cloud infrastructure
OpenAI artificial intelligence platform for AI-powered solutions
ArgoCD GitOps continuous delivery platform for Kubernetes
Prometheus monitoring and alerting toolkit for cloud infrastructure
PagerDuty incident management and on-call platform
MLflow open-source platform for machine learning lifecycle management
Weights & Biases MLOps platform for experiment tracking
Evidently AI platform for ML model monitoring and evaluation
Kubeflow machine learning platform for Kubernetes
KServe serverless model inference platform for Kubernetes
MLflow open-source platform for machine learning lifecycle management
Weights & Biases MLOps platform for experiment tracking
Evidently AI platform for ML model monitoring and evaluation
Kubeflow machine learning platform for Kubernetes
KServe serverless model inference platform for Kubernetes
MLflow open-source platform for machine learning lifecycle management
Weights & Biases MLOps platform for experiment tracking
Evidently AI platform for ML model monitoring and evaluation
Kubeflow machine learning platform for Kubernetes
KServe serverless model inference platform for Kubernetes

The situation most founders recognise immediately

You did not build an AI startup to become an infrastructure expert. But right now, infrastructure is consuming more of your attention than the product.

Every major launch has a war room attached to it. The on-call rotation is unsustainable. Your engineers are brilliant at building the product. Nobody signed up to debug a production incident at 2am with no runbook and no owner.

Underneath all of it is a fear most founders carry quietly: that the infrastructure is one bad incident away from costing you something important. A customer. A deal. An investor's confidence during due diligence.

The pattern is always the same. Ship fast. Fix infrastructure later. Later arrives at exactly the wrong moment.

Every one of these situations is preventable. That is precisely what Coneixedor was built to do.

How we keep your product running at speed.

We handle everything from cloud architecture and AI pipelines to SRE, MLOps, and managed infrastructure, so you never have to context-switch away from building product.

See All Services →
99.97%
Avg uptime delivered
70%
Fewer production incidents
5 min
Avg resolution time
Zero
Unplanned launch outages

The SRE practice your AI startup should have built six months ago.

The startups that find Coneixedor are not in crisis. They are one incident away from one.

Coneixedor exists because great AI products deserve infrastructure that matches their ambition. Google does not go down. Netflix does not buffer. Stripe does not drop transactions. The reliability thinking behind those products is not magic. It is a practice called SRE. Coneixedor brings that exact practice to AI startups who cannot afford a Google-sized team to implement it.

Enterprise consultancies charge enterprise prices and hand you off to a junior three weeks in. Freelance DevOps engineers solve tasks. Neither stays accountable to your outcome. Coneixedor was built for the gap between those two options. Senior SRE expertise applied specifically to AI-native startups at a pace and price point built for companies that are scaling, not yet scaled.

Krati founded Coneixedor after watching the same pattern repeat itself across multiple engineering teams: brilliant AI products built on infrastructure that was never designed to hold them. Every engagement is partner-led from the first call to the final handover, and one senior partner stays accountable to your outcome throughout. Every engagement also pairs that partner with senior engineers who specialise in exactly the infrastructure challenge you are facing. No account managers. No juniors. No handoffs.

"We bring Google-grade SRE thinking to startups who cannot afford a Google-sized team. And Krati stays accountable to your outcomes from the first call to the moment your team ships without fear."- Krati Gaur, Founder, Coneixedor Technologies
  • SRE-first, not DevOps-first: We define SLOs, build runbooks, and design infrastructure that stays reliable when things go wrong at 2am.

  • AI-native, not AI-bolted-on: Every pipeline, runbook, and deployment pattern we build is designed for the way AI-driven products actually operate.

  • Partner-led, no handoffs: One senior partner is accountable for your outcome from first call to last. The senior partner you speak to on the first call is the partner accountable for your infrastructure throughout.

Every Coneixedor engagement pairs a senior partner with the specialist engineer your infrastructure challenge requires. You deal with the same people from kickoff to handover. You know who is working on your infrastructure, what they are responsible for, and who to call when something needs attention.

Krati Gaur, founder of Coneixedor Technologies, working on infrastructure design

Here is how it works.

Three steps from fragile infrastructure to a team that ships without fear.

01

Book a Free Infrastructure Audit

Thirty minutes with Krati. She has done this enough times to know where the gaps are before you finish describing them. No pitch. No sales deck.

02

Get a Plan Built for Your AI Product

Not a generic DevOps checklist. A tailored infrastructure roadmap for your specific stack, your AI workloads, and where you are going. You know what you are committing to before you commit to anything.

03

Lead a Team That Ships Without Fear

On the other side of this is a CTO who sleeps through their phone notifications. A team that deploys on Fridays without a war room. Infrastructure that holds during your biggest launch and most scrutinised fundraise.

Book a Free Infrastructure Audit →

Start with Step 1. Thirty minutes. Senior partner. No pitch.

What happens if you wait.

The startups that treat infrastructure as something to fix later are the ones who discover, too late, that later already came. Here is what that looks like in practice.

Scenario 1

The fundraise that gets complicated.

You are in a due diligence call. The technical advisor asks about your SLOs, your incident history, your disaster recovery plan. The room goes quiet for just a moment longer than it should. Not because of the product. Because of a question about uptime they did not like the answer to.

Scenario 2

The launch that becomes a crisis.

Your team spent six months building toward this moment. The product goes live. Something breaks within the first hour. The outage becomes the story instead of the milestone.

Scenario 3

The engineer you cannot afford to lose.

They have been quietly carrying the infrastructure alone for eight months. No runbook. No backup. No relief. One morning they hand in their notice. The on-call rotation did.

None of these are inevitable. Every single one is preventable. Fixing it properly takes far less time than you think. That is the conversation Krati has on almost every first call.

Six months from now, this is what changes.

This is what working with Coneixedor builds toward on every single engagement.

Scenario 1

Launches that feel routine.

Your team deploys on Fridays. The metrics climb. Someone orders pizza. Nobody opens a war room. By Monday it is already old news.

Scenario 2

Due diligence that goes your way.

The technical advisor asks about your SLOs. You answer every question before it is fully asked. The infrastructure section of your data room becomes a strength.

Scenario 3

A team that is building, not firefighting.

Your engineers spend their energy on the product. The engineer who was quietly burning out is now the most energised person on the team.

Scenario 4

Sleep.

Your phone is face down on the nightstand. You are asleep. It stays that way until morning. You stopped carrying the weight the moment you stopped having to carry it alone.

Founder with confident, successful team - Coneixedor outcome

The best engineering teams are not the ones who fight fires best. They are the ones who rarely have fires at all.

"A founder who ships fast, sleeps well, and walks into every important room knowing infrastructure will never be the reason they lose."- Krati Gaur

Results that speak for themselves

Real outcomes from real startups. Reliability first, every time.

BSEduworld

The team that stopped dreading Fridays.

Redesigned legacy AWS infrastructure with SRE-grade CI/CD, IaC, and automated rollback. The team went from deployment anxiety to deploying 3x a day with confidence. For the first time, Friday deployments felt routine instead of reckless.

45%
Faster Deployments
60%
Cost Reduction
Zero
Deployment failures since go-live
FinTech Startup

The fraud model that finally worked in production.

Built an end-to-end MLOps pipeline for real-time fraud detection: model versioning, continuous training, and drift monitoring included from day one. For the first time, the engineering team could focus on improving the model instead of firefighting the pipeline.

80%
Fraud Detection Rate
3x
Faster Model Updates
50%
Lower Infra Costs
Healthcare SaaS

The CTO who stopped being the on-call rotation.

Defined SLOs, built runbooks, set up on-call rotation and incident response workflows. Incidents that used to take hours to resolve now resolve in minutes. The on-call engineer slept through their first shift in two years.

70%
Fewer Incidents
5min
Avg Resolution Time
Hospital Contract Retained

What founders say about working with us.

Not just happy clients. Founders who felt the difference of working directly with the person who built their infrastructure.

Before Coneixedor every deployment felt like a gamble. We were shipping but never fully confident about what would break next. Krati came in, understood our situation immediately, and built a deployment process that worked for our team and our budget. Deployment cycles 45% faster, infrastructure costs down 60%, zero deployment failures since go-live. But honestly the biggest change was confidence. We ship on Fridays now and nobody loses sleep over it.

Ravi Mohan, Director, BSEdu World
Ravi Mohan
Director, BSEdu World
★★★★★

I first worked with Krati when I was building Cert Corner. When Ravi and I started BSEduworld, bringing Coneixedor back was not even a question.

Preetam Sharma, Co-founder of BSEduworld
Preetam Sharma
Co-founder, BSEduworld (previously Cert Corner)
★★★★★

Your phone face down. Your team shipping. Your infrastructure holding. That version of your company starts with one conversation.

Most founders leave the first call with more clarity about their infrastructure than they have had in months. That is the entire point of the audit.

Book a Free Infrastructure Audit30 minutes. Senior partner. No pitch.
Find out where your infrastructure gaps are before your next fundraise.
"If the infrastructure story is not your strongest one right now, lets change that."- Krati Gaur, Founder, Coneixedor Technologies