Mrikal
Clients Changes we build What we build Collaboration Let's Talk
AI & Data Capability Centre

What's missing from your team?

Enterprises, NASDAQ listed operators and government bodies bring us the gap their own teams can't close, and we close it as an extension of theirs.

See the change →
Whichever seat is empty
Mrikal Completes Your Team
TLTech Lead DODevOps ?Your empty seat DEData Engineer FSFull Stack Dev ?Your empty seat CACloud Architect UXProduct Designer ?Your empty seat AIAI / ML Lead
Trusted by

Augmenting capabilities for 50+ organisations across 7+ countries.

Enterprises, NASDAQ listed operators, government bodies and funded startups.

PharmaAcuity
Intelligent HCP data platform. 7M+ healthcare professionals scored.
MedVol
Event-driven supply chain platform. 5,000+ distributors onboarded.
NCS Multistage
Oracle Fusion, Pipedrive and SharePoint into Snowflake. Reporting time cut 70%.
Simplify3X
Self-serve analytics for their test automation platform.
Spur.fit
AI fitness assessment that auto-configures workout difficulty.
AionOS
Conversation intelligence platform: insights, segments, RBAC and PII masking.
BIAnalytics
Superset cluster setup and performance testing at scale.
neurIOT Labs
Informatica to Snowflake migration plus AI document parsing.
Stupa Sports Analytics
Tournament management, OTT delivery and broadcast graphics for world tour events.
ShikshaLokam
Shikshagraha dashboards with district-level map drilldown for school leaders.
NIELIT
Training delivery on applied AI courses.
One Family Foundation
Social Innovation Atlas: AI discovery platform for 1,000+ social innovations.
Prosple
Organisation-level row-level security across their graduate careers reporting.
TutorBin
Embedded engineering capacity augmenting their product team.
CEITCON
Role-based dashboards with configurable full-screen default views.
KIT-AR
Custom Gantt visualisation built into their manufacturing analytics stack.
SchoolVoice
Single sign-on into embedded analytics, with row-level security per school.
MUNJZ
Kubernetes on Alibaba Cloud: CI/CD, WAF, RDS and analytics deployment.
ShipInsure
Claims analysis, merchant retention and revenue dashboards.
Wellsite
Real-time drilling analytics on Apache Druid. 1,000+ data points per second.
CREWIN
Maritime crewing platform: CV parsing, compliance checks, interview workflow.
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Organisations whose data & AI capability we augmented
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Countries served from our Gurugram capability centre
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Reporting time cut for a NASDAQ listed operator
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Data points processed for targeting and analytics
Changes we build

Drag to see what changed.

Every engagement, shown as a before and after. Pull the handle across.

NCS Multistage  ·  Energy services (NASDAQ: NCSM)  |  Data platform pod

ERP data took a week to reach a report. Now it lands in fifteen minutes.

SnowflakeApache Airflow18 monthsPod of 4
Before FRAGMENTED · MANUAL · SLOW Oracle Fusion manual extracts Pipedrive CRM exports SharePoint files by email ✕✕✕ Manual reconciliation 5 days per cycle backlog Reporting last refreshed: 7 days ago ⚠ ERP extracts pulled by hand ⚠ CRM and ERP numbers never reconciled ⚠ Month-end closed on stale numbers
After UNIFIED · AUTOMATED · REAL-TIME Oracle Fusion Pipedrive SharePoint Automated pipeline runs every 15 min Live dashboard ✓ Self-serve reporting, no ticket queue ✓ ERP, field and vendor data in one warehouse ✓ Close the month on same-day numbers
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Reporting time
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Manual data prep
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Datasets available to analysts
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MedVol  ·  Pharma distribution  |  Event-driven rebuild + embedded pod

One release could stall the business. Now every service ships on its own clock.

AWSSNS + SQS30+ monthsPod of 6
Before MONOLITH · STRAINED · FRAGILE Monolithic application tightlycoupled sharedstate ⚠ single point of failure traffic 9k rpm ⚠ deploys: 2 / month ⚠ p95 latency: 1,400 ms ⚠ downtime: 6 hrs / quarter ⚠ one bad release blocks every team
After EVENT-DRIVEN · RESILIENT · SCALABLE Gateway load balanced Employee master independently deployable Order management auto-scaling Notifications isolated failure domain ✓ deploys: 4 / day ✓ p95 latency: 180 ms ✓ uptime: 99.9% ✓ 5,000+ distributors onboarded throughput, last 12 weeks
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Uptime
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Tell us the gap and we will scope it.
Our Capabilities

What we build.

Each card leads with the outcome it delivers, not the technology behind it.

01

Applied AI & LLM

Document review and compliance checks cut from days to minutes.
RAG pipelines, LLM platforms, and predictive agents built for production, not demos.
LangChain PyTorch Hugging Face Qdrant Python
02

Data & Analytics

Reporting time cut by 70% for a NASDAQ listed operator.
Oracle to Snowflake pipelines, warehousing, and custom ETL. The capability centre backbone.
Snowflake Databricks Apache Airflow Apache Kafka pandas
03

Full Stack Product

Phase one backbone live in eight weekly sprints.
Web and app products from wireframe to scale on cloud native architecture.
React Next.js Node.js TypeScript GraphQL
04

Custom Software & CRM

500K+ retail locations onboarded onto one platform.
Bespoke business systems, CRMs, and internal tools built around how your team works.
PostgreSQL FastAPI Redis MongoDB Firebase
05

Cloud & Architecture

Peak load absorbed by services that scale on their own.
Monolith to microservices migrations and architecture that scales under pressure.
Docker Kubernetes Terraform NGINX Cloudflare
One call, no deck.
Two ways to engage

Power your delivery, or own the outcome.

Pick the shape of the engagement. The engineering bar is the same either way.

01
Collaboration

Build with you

Our engineers inside your process, under your brand.

  • Engineers inside your sprints, standups and repositories
  • Your brand and your client relationship, our delivery bench
  • Scale the pod up or down without a hiring cycle
  • Senior engineers only, never juniors billed as seniors
FOR  IT firms, agencies & consultancies who need capacity without headcount.
02
Direct delivery

Build for you

We own it end to end and ship under the Mrikal name.

  • One accountable team from scoping to production
  • Fixed-scope phases with milestones you can see
  • Architecture, QA and DevOps included, not billed extra
  • Full IP handover at the end, no lock-in
FOR  Founders, enterprises & product teams who want an outcome, not a hiring problem.
Same engineers. Same bar. The only thing that changes is who owns the outcome.
Collaboration Model

Your team, plus the capability you're missing.

We don't replace what works. We close the specific gap holding delivery back.

You already have
Two seats still empty.
You bring
Domain knowledgeClient relationshipsExisting productCore team
+
Mrikal adds
Two engineers, ready.
We bring
AI & LLM engineeringData platformSenior full stackCloud architecture
=
The gaps close
One team, no seams.
You get
A roadmap that moves againCapability that stays with your teamDelivery you can forecastNo hiring cycle to wait out
The gap stops being the constraint.
The work you shelved because nobody could own it now has an owner.
Live in 2 weeks
Tell us which seat is empty.
Direct delivery

Pods, not résumés.

Teams that arrive already formed and working. Pick the shape that matches the gap.

Pod formationArrives working
TLTech lead
SESenior engineers x 2
QAQA / DevOps
POD
CORE
BEST FOR  A backlog that keeps slipping because nobody owns it end to end.
AIAI / ML lead
DEData engineers x 2
PMDelivery manager
POD
CORE
BEST FOR  Pipelines, warehouse and models that must run in production, not a notebook.
FSFull stack devs x 2
UXDesigner
ARArchitect
POD
CORE
BEST FOR  Going from wireframe to a product in market without hiring first.
On the bench  drag or click to add
YOUR
POD
Drop people here
YOUR POD  0 people  click a person to add, click again inside the pod to send them back.
We will shape the pod around the gap.
Time to value

From call to shipping.

Four milestones. Each one is something you can see, not a status update.

01
Day 0

The gap call

Thirty minutes on what is missing and what good looks like. No deck.

A written read-back of the gap
02
Week 1

Pod assembled

Named engineers, not CVs. Access, repositories and standups are set up.

The people, already working
03
Week 2

First code in your repo

A real change ships through your pipeline, however small, to prove the loop works.

A merged pull request
04
Week 6

Running at your pace

The pod is inside your cadence and the backlog is moving again.

Velocity you can forecast
Day 0 can be this week.
The team you would be working with Let's Talk

Tell us the gap. We'll close it.

One call, thirty minutes. Tell us which seat is empty and we will tell you exactly who fills it.

Visit mrikal.com
EMAIL  harsh.kandpal@mrikal.com CALL  +91 92897 35058 LINKEDIN  /company/mrikal OFFICE  WeWork DLF Forum, Cyber City, Gurugram