Hi-TecH Industry

Build it. Modernize it. Run it. Staff it.

Coditation helps hi-tech companies build, scale, and evolve software through product engineering, AI, and long-term execution.

AI-Assisted Product Engineering

Velocity Is Cheap. Velocity That Survives Seriesc Is Not.

Anyone can vibe-code an MVP. We build the systems that scale beyond it’s  architecturally sound, observable, and maintainable by the team you hire next year. AI accelerates delivery. Senior engineers own the architecture.

Users Reached

50m+

Products engineered by Coditation operating at global consumer scale.

Transactions Per Minute

1m+

Real-time systems continuously handling production-scale workloads.

Market Cap Supported

$2.5T+

Engineering trusted by companies operating at massive global scale.

Built for Systems That Can’t Afford Fragility

Architecture

Architecture-First Design

Domain models, bounded contexts, and API contracts beforecode. We design for the failure modes of scale while thewhiteboard is still clean.

what we bring:

Event-driven & microservice architecture

Domain-driven design (DDD)

api iocn

API-first contracts & versioning strategy

Distributed system patterns — CQRS, saga, outbox

Architecture
AI-Native

AI Copilots in Every Workflow

Not just autocomplete. We run code-review agents, testscaffolding, security linting, and doc generation inside thesame PR loop as human reviewers.

what we bring:

Codebase-aware AI copilots (Cursor, Claude, Copilot)

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Automated PR review with context-aware agents

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LLM-accelerated spike &discovery cycles

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Distributed system patterns — CQRS, saga, outbox

AI-Native
Quality

Automated Quality Gates

Unit, integration, contract, and load tests wired into CI fromday one. AI-generated coverage fills gaps humans leave. Youship confidence, not hope.

what we bring:
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Test pyramid: unit → integration → contract → E2E

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AI-generated unit and regression tests

Performance & load testing in CI (k6, Gatling)

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Performance & load testing in CI (k6, Gatling)

Quality
Domain

Complex Domain Expertise

We're not generalists with a portfolio. We specialize indomains where getting it wrong means regulatory scrutiny,financial loss, or front-page news.

what we bring:
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Fintech — payments, ledgers, reconciliation

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Identity, auth, and access management

Multi-tenant SaaS & marketplace mechanics

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Compliance-bound systems (SOC2, HIPAA, PCI-DSS)

Domain
Observability

Observable by Design

Structured logging, distributed tracing, and SLOs are first-class requirements  never retrofits. You should know yoursystem's health before your users do.

what we bring:

OpenTelemetry instrumentation from sprint one

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SLO/SLA definition & error-budget tracking

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Distributed tracing (Jaeger, Tempo, Datadog APM)

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Runbooks and alerting wired at deploy time

Observability
Delivery Model

Embedded, Not Vendor

We join your sprint cadence, your code review culture, yourSlack. No deliverable-and-disappear. No timezone surprises. No translation layer between "your team" and "our team."

what we bring:

Full-stack: frontend, backend, platform, data, mobile

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Works inside your GitHub / Jira / Linear / Notion

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Pair-programming cadence with your in-house seniors

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Engineers who can present to your board

Delivery Model
hippaa
hitrust
soc 2
phi handling
phi handling
rbac
responsible ai
ml ops
hippaa
hitrust
soc 2
phi handling
phi handling
rbac
responsible ai
ml ops
hippaa
hitrust
soc 2
phi handling
phi handling
rbac
responsible ai
ml ops
AI-Accelerated Modernization & Sustenance

Tech Debt Is a Balance Sheet item.we Pay It Down.

Legacy isn't a label, it's a tax. We use an AI-trained modernization team to refactor, re-platform, and re-architect without the 18-month rewrite that never ships. And after the migration, we stay on to maintain what we built.

Our Modernization Framework

1. Assess

Audit codebase, infra, and team. Quantify the debt in money, not feelings.

2.Roadmap

Sequence migrations by risk and ROI. No big-bang rewrites; every sprint ships value.

3.Migrate

Incrementally re-platform, refactor, and re-architect parallel to your feature roadmap.

4.Stabilize

Harden the new stack: observability, runbooks, load tests & SLOs before handoff.

5.Sustain

We don't leave. We maintain what we built and keep it current, secure, and fast.

Constraints to Future-Ready Systems

Compute & Runtime
From :

Quarterly, change-window, rollbacks

to

Containerized services, autoscaled

typical impact

38%

Lower Infrastructure Costs at Scale.

Application Stack
From :

.NET Framework / legacy Java

to

.NET 8 / Spring Boot 3 / Node 20

typical impact

60%

Reduced Security Vulnerability Exposure.

Data Layer
From :

Stored procedures, batch ETL

to

Event-streamed, columnar warehouse

typical impact

12X

Faster Distributed Query Performance.

Release Process
From :

Quarterly, change-window, rollbacks

to

Continuous deploy, feature-flagged

typical impact

89%

Accelerated Deployment Cycles.

Observability
From :

Log files on a box, alert fatigue

to

OpenTelemetry, SLOs, traced requests

typical impact

73%

Faster Incident Recovery Times.

Front-End
From :

jQuery, server-rendered, no design system

to

React / Next.js, typed, design-system backed

typical impact

4x

Increased Feature Delivery Velocity.

After the Migration, We Stay.

We stay embedded long after migration to help systems evolve, stabilize, and scale with confidence.

Dependency & Version Management

Maintaining frameworks, runtimes, and libraries through structured upgrades, compatibility validation, and proactive dependency maintenance before systems become outdated or unstable.

Security & Compliance Posture

Embedding vulnerability management, compliance monitoring, security scans, and remediation workflows directly into the engineering and deployment lifecycle.

Performance Stewardship

Continuously optimizing infrastructure, databases, caching strategies, and system performance as traffic patterns, scale, and operational demands evolve.

Architecture Governance

Preserving long-term architectural integrity through technical oversight, debt management, engineering standards, and scalable system decision-making.

Optimize, Secure & Support

Expert Engineers On Your Production. L23 is Their Unfair Advantage.

L23. AI is not a monitoring dashboard. It is an AI amplified operations layer combining DevOps, SRE, L1/L2/L3, and FinOps expertise with in house intelligence that surfaces correlations, context, and probable causes in seconds. Your engineers arrive faster, already briefed, and ready to resolve.

RUN STATE ENGINEERING

65+

Engineers Dedicated to Live Production Systems

GLOBAL OPERATIONS COVERAGE

24x7

IST · PST · GMT Continuous Operations Coverage

AI ASSISTED INCIDENT RESPONSE

<4min

Mean Time to Intelligent Incident Triage

L23 correlates deploys, traces, and logs before humans are paged, surfacing context, probable causes, and operational signals in seconds so engineers arrive already briefed, already aligned, and ready to resolve instead of starting from zero.

Operational Capabilities Across Every Layer

SLO-driven

Engineering resilient systems for production-scale reliability.

CI/CD IAC

Building scalable cloud infrastructure and CI/CD workflows.

L23-assisted

Providing structured L1/L2/L3 operational support.

L23-briefed

Managing incidents and intelligent on-call workflows.

FinOps

Optimizing cloud efficiency and operational spend.

SOC2 ISO

Embedding security and compliance into operations.

GCC as a Service for Hi-tech Industry

An EOR Sends You Employees.We Send You an Operation.

Deel and Rippling will hand you a payslip and a P&L line. Then you still need asite lead, a recruiter, an office, a compliance partner, and someone in thetimezone to run it.Coditation is that whole stack  already built, already running, already in Pune.

What You're Buying
EOR (Deel, Rippling, Remote)
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On-The-Ground Site Leadership

Someone senior, in timezone, accountable.

EOR (Deel, Rippling, Remote)

Not Included

You hire and manage them yourself, from another continent.

Dedicated Site Lead

Acts as your India COO. Reports into you, runs the team.

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Sourcing & Hiring Engine

Who finds the talent in the first place.

EOR (Deel, Rippling, Remote)

BYO Recruiter

EORs onboard who you hand them. You source.

Embedded TA Team

In-house recruiters with a working pipeline from day one.

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Time to Productive headcount

From signed contract to first commit.

EOR (Deel, Rippling, Remote)

8–12 Weeks

Recruiter ramp + sourcing + onboarding stacks.

2–4 Weeks

Recruiter ramp + sourcing + onboarding stacks.

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Quality Floor on Hires

Who guarantees the engineering bar.

EOR (Deel, Rippling, Remote)

Your Problem

EOR has no view on whether the hire is good.

Same Bar as Our Own Org

Vetted by senior engineers already shipping production code.

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Day-To-Day People Management

1:1s, performance, attendance, escalations.

EOR (Deel, Rippling, Remote)

Your Problem

A US/EU exec carries 9.5hr-offset overhead.

Run by Your Site Lead

You get a weekly report, not a 7am calendar invite.

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India Compliance & Operations

Labor law, ESI, PF, gratuity, GST, audits.

EOR (Deel, Rippling, Remote)

Payroll Layer Only

Statutory math, not operational nuance.

End-to-Eend

Including the things you don't yet know to ask about.

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Office, It, Security, Devices

Where the team actually works.

EOR (Deel, Rippling, Remote)

Not Included

WFH-only, or you sign a lease in Whitefield.

Operational on Day One

SOC 2-aligned office, managed endpoints, in Pune.

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Engineering ulture & entorship

What stops your juniors from drifting.

EOR (Deel, Rippling, Remote)

Not a Thing

Isolated remote employees, no peer ladder.

Built-in

Acts as your India COO. Reports into you, runs the team.

Single Point of Accountability

One throat to choke when something breaks.

EOR (Deel, Rippling, Remote)

4–6 Vendors

EOR + recruiter + landlord + IT + lawyer + you.

One Partner

Coditation owns the outcome, not a slice of the workflow.