One engineer. A decade inside enterprise systems that kept breaking in the same places. A decision to stop fixing the same fires — and start building the solutions that should have existed.
The Journey
The founding story
There's a pattern every experienced engineer eventually notices. You walk into a new engagement — different logo on the badge, different city, different vertical — and the infrastructure is broken in the exact same way it was broken at the last place.
Identity systems provisioning access nobody had audited in three years. Cloud migrations that simply replicated on-premise dysfunction at AWS prices. Data pipelines built by people who'd left the company, running on servers whose purpose had been forgotten. AI initiatives built on top of data nobody trusted.
The problems weren't unique. The solutions were being invented from scratch every time — by engineers billing hours, by consultants protecting their knowledge moat, by vendors selling complexity to justify licensing fees.
If I've solved this exact problem at four different Fortune 500 companies, there's no reason the fifth should pay to solve it again from zero. The solution should exist. So I built it.
— CEO, Anagha Solutions Inc.The founder came from core engineering — systems design, identity infrastructure, distributed platforms. Not the startup world. Not MBA-land. The kind of engineer who thinks in CAP theorem and data flow diagrams before thinking in go-to-market slides. That's intentional.
In 2018, instead of taking the next enterprise contract, Anagha Solutions was started to do two things at once: deliver the deep consulting work enterprises genuinely needed — not the padded SOW kind — while simultaneously building the products that would make the next client's journey faster, cheaper, and more reliable.
The name Anagha (Sanskrit: without fault, pure) is a reminder that sits above the door: every system you ship should be something you'd be proud to have your name on. That standard is harder to maintain than any SLA.
Core engineering domains
These aren't services on a brochure. They're the fields where the founder built expertise problem-by-problem, before Anagha existed.
SailPoint IIQ/IdentityNow, Okta, CyberArk, PAM, RBAC/ABAC governance. Built enterprise IAM programs from ground up at financial institutions where a misconfigured role meant a regulatory violation.
Designed and operated K8s clusters across AWS, GCP, and Azure. GitOps workflows with ArgoCD, Helm, Terraform. The kind of platform work where uptime isn't a feature — it's the baseline.
GenAI pipeline architecture, RAG systems, model fine-tuning, and production LLM inference. Not "AI-powered" as a label — as an engineering discipline. Shipping AI that works in production, not demos.
Event-driven architectures, streaming pipelines, data lakehouse patterns. Built data platforms that teams actually trusted — because the lineage was clear, the latency was tested, and the schema was owned.
Full-stack observability with OpenTelemetry, Grafana, and structured logging. SLO/SLA frameworks, incident runbooks, and the on-call culture that separates reliable systems from 3am pager alerts.
Deep Salesforce engineering (Sales Cloud, Service Cloud, custom Apex) plus API platform design. The integration layer between enterprise systems — where broken data flows kill good intentions.
Growth timeline
How we work
Not "customer success" as a department. Client-first as an engineering constraint. Every design decision starts with: does this make the client's problem simpler, or does it make our system more impressive? Those are different things.
We don't have 40 practices. We have 6, and we go deep in each. An IAM engineer who knows SailPoint at the schema level beats a generalist who's "worked with identity tools" every single time. Depth is the product.
The correct solution to a recurring problem is not a better workaround — it's a product. That's why Anagha builds software alongside consulting. Every problem we solve twice is a candidate for a product that solves it permanently.
We don't pad SOWs. We don't recommend complexity to justify billing hours. We don't sell technology the client doesn't need. The business model only works if clients actually succeed — so their success is the only metric that matters.
Technology depth
Every tool below has been used in production, under load, in environments where failure had real consequences.
Let's talk about what you're actually trying to build — not a scope of work, just a conversation between engineers about the real problem.