Loading...
About Samvanta / Operators, not bystanders.
We help teams ship faster, run calmer, and spend less on cloud.
We are a small team of senior engineers. We embed with founders and platform teams to improve delivery, reliability, and cloud cost discipline. When AI is part of the roadmap, we help it reach production and stay there.
No spam. Just signal. NDA available.
What you get
Release workflows that repeat.
Production that operates calmly.
Cloud spend that stays explainable.
AI features that ship safely.
Mission & vision
/ mission
Deliver practical improvements teams can measure, release workflows that repeat, production that operates calmly, and cloud spend that stays explainable.
Plus AI features that make it from prototype to production, safely.
/ vision
Help product teams ship meaningful customer value faster without trading off reliability, security, or cost discipline.
Operating principles
01
Innovation
Practical AI + modern cloud. If it doesn’t ship and improve a metric, it’s a science project.
02
Integrity
Transparent estimates, honest tradeoffs, board-ready reporting.
03
Excellence
Operator-grade execution. Observability, runbooks, clean handoffs are mandatory.
04
Ownership
Senior engineers stay accountable end-to-end. No drop-and-run.
/ why samvanta
Most consultancies sell you the deck.
We ship the diff.
We’re not the cheapest. We’re built to be the last engagement you need before your platform feels like it scales itself.
Operator led, not consultant led
The senior who scopes the work is the senior who ships the work. No partner track theatrics.
Production readiness ships with the work
Observability, runbooks, and IaC are deliverables, not a rounding error in the SOW.
Targets, not vibes
Every engagement carries measurable success metrics tied to deploy freq, MTTR, and $/req.
Cloud spend you can explain
Tagging, ownership, and FinOps guardrails so the next AWS bill never surprises the CFO.
Outcomes
Release velocity
Up to 3× faster release cycles
Cloud cost discipline
~30% cloud cost reduction
Incident response
Up to 60% faster MTTR
Team seniority
100% senior engineers involved
Metric focus: deploy frequency · lead time · change failure rate · MTTR · \( $/req \) · availability
/ how we work
Operator-grade delivery, in four moves.
No discovery theater. No “agile reset” workshops. We measure what’s broken, fix the highest leverage things first, and leave you with the muscle memory.
Calm execution. Weekly signal.
01
Discovery & audit
We map CI/CD, environments, observability, and cost drivers in days, not weeks. You leave with a prioritized plan, not a slideware report.
Baseline metricsRisk registerQuick wins (≤2 weeks)
02
Outcome-first plan
Milestones tied to business metrics: deploy frequency, MTTR, change-failure rate, $/req. We commit to numbers, not vibes.
Milestone calendarSuccess metricsRisk burndown
03
Embedded delivery
Senior engineers embed with your team. Pair, ship, document. We build with you so the muscle memory stays after we leave.
Working softwareRunbooksPairing & enablement
04
Production handoff
Observability baselines, runbooks, on-call docs, and IaC live in your repos. Clean handoff. Optional ongoing support.
Handoff docOn-call playbookOptional retainer
Industries we serve
Built for teams
where downtime is not an option.
PCI-awareAudit-ready
FinTech
Modernize cloud operations with stronger reliability, security posture, and operational control fit for regulated workloads.
HIPAA-aware
Healthcare
Adopt AI and modern cloud with HIPAA guardrails, traceability, and operational readiness without sacrificing release velocity.
Scale 5 → 50+ eng
B2B SaaS
Scale engineering ops as you grow from 5 → 50+ engineers. Repeatable workflows, calmer ops, predictable cloud spend.
Platform-as-a-product
Enterprise platforms
Internal platforms that engineers actually want to use. Self-serve, golden paths, and IDP foundations rooted in your reality.
/ stack & partnerships
The tools we ship with every
day, in production.
day, in production.
Cloud-agnostic by design. We pick boring, well-understood technology and bring opinions on observability, security, and cost.
AWS
Azure
Google Cloud
Kubernetes
Terraform
Docker
GitHub Actions
Prometheus
Grafana
PostgreSQL
Python
TypeScript
Next.js
Vercel/ selected work
All case studies Outcomes,
not screenshots.
FinTech · Series B
From monthly releases to daily deploys
Rebuilt CI/CD pipelines with environment promotion, automated rollback, and contract testing. Removed two release-coordination meetings a week.
Deploy frequency
12×
Change-failure rate
-40%
Engagement
10 wks
Healthcare SaaS
$240k/yr cut from a noisy AWS bill
FinOps tagging, ownership model, and reserved capacity strategy. Found stranded NAT and idle RDS, paid for the engagement in the first month.
Cloud spend
-24%
Right-sized workloads
180+
Engagement
6 wks
B2B SaaS · DevTools
AI copilot to production in 9 weeks
Shipped a retrieval augmented copilot with evals, guardrails, and feedback loop. From whiteboard to GA, without the usual demo to prod cliff.
Time-to-prod
9 wks
Activation lift
+31%
Eval coverage
92%
Free Infra Audit (30 min)
CI/CD review · Observability gaps · Cost optimization · Actionable plan
No fluff. Just a prioritized next step.