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Machine learning & deep learning

Ship production models & pipelines with MLOps your team can run

From fraud graphs to line-scan QC and clinical NLP — we design datasets, train responsibly, hit your latency budget, and leave you with monitors, rollbacks and runbooks — not a Jupyter handoff.

  • PyTorch · TensorFlow · JAX · XGBoost · scikit-learn · ONNX / Triton
  • Vertex · SageMaker · Kubeflow · MLflow · W&B — experiment tracking & CI for models
  • Feature stores · drift monitors · shadow & canary deploys — India-scale traffic aware
  • From ₹1,50,000 for a scoped model MVP with offline eval + serving path
Get a Free Quote Book a Free Call
★★★★★ 4.9/5 · 85+ models in production
India + remote NDA-protected 2hr response
Trusted by businesses worldwide
Google Medium FACTSET BUNGE Celanese DARDEN
Case Studies

Proven case studies in ML & deep learning

Models in production — fraud, vision, NLP and forecasting — with measurable lift, latency budgets and MLOps your team can run.

FinTech / UPI rails  ·  8-week build · Mumbai · GCP + BigQuery

Graph + gradient-boosted ensemble cut fraud chargebacks by 31% at under 40ms p99

The Challenge

NeoRisk’s rule engine missed coordinated mule rings and device farms — chargebacks spiked after a Diwali promo despite static velocity caps.

The Solution

Feature store on BigQuery + XGBoost + shallow GNN over device-merchant edges, calibrated thresholds per corridor, shadow mode → canary → full cutover with drift monitors.

Key Highlights & Features
  • Explainable risk bands for ops review queue
  • Real-time scoring API on Cloud Run + Redis hot features
  • Weekly backtest harness + PSI alerts on top-20 features
  • Human override hooks with full model version audit
  • IMPS / UPI channel-specific calibration
  • RCA dashboards for false-positive tuning
The Impact
-31% chargeback rate
38ms p99 inference
+12pts PR-AUC vs rules
View model brief Ship something similar
Hire AI Engineers

Rent battle-tested AI engineers — without the hiring chaos

Skip 90-day hiring cycles. Get a Coderlab AI engineer (or full pod) onboarded in 48 hours — billed by the hour, week, or month. Pause, swap or scale anytime.

0h avg. onboarding time
0+ AI engineers on bench
0% client retention
₹0 to start · 1-week trial
Hourly

By the hour

Best for short tasks, hot fixes, prototypes & spec’d-out features. No commitment — bill weekly.

  • Min. 10 hours / week
  • Hourly time-tracking + screenshots
  • Pause / resume anytime
  • Weekly invoicing in INR or USD
Match me with an engineer
Monthly Dedicated ★ Most Popular

Full-time dedicated

One AI engineer working only on your roadmap. Daily standups, your tools, your time-zone.

  • 160 hrs / month · 8 hrs/day
  • Direct Slack / Notion / GitHub access
  • Daily standups + weekly demos
  • Free 1-week trial · pay only after
Start 1-week trial
AI Pod

Full AI pod (3-5)

PM + LLM eng + RAG architect + ML Ops + QA. End-to-end product team that ships in weeks, not quarters.

  • 3-5 dedicated engineers
  • PM-led delivery + sprint demos
  • SLA-backed uptime + on-call rotation
  • Full IP & source-code transfer
Build my pod
Why Coderlab

Why teams hire AI engineers through us

48-hour onboarding

Send a brief on Monday. Have an engineer pushing PRs by Wednesday. No quarter-long hiring loops.

AI specialists, not generalists

Every engineer ships LLM, RAG, vector-DB or agent code daily. We don’t send web devs in disguise.

Try before you commit

1-week paid trial — but you only pay if you keep the engineer. Risk sits with us, not you.

End-to-end ownership

One accountable engineer for spec, code, deploy & monitoring. No hand-off losses, no finger-pointing.

Roles you can hire

8 specialist profiles, on-the-bench right now

L Available

LLM Engineer

GPT-5 Claude Fine-tuning
Hire
R Available

RAG Architect

Pinecone Weaviate Embeddings
Hire
M Available

ML Ops Engineer

Kubeflow AWS SageMaker CI/CD
Hire
V Available

Voice AI Engineer

ElevenLabs Whisper Sarvam
Hire
C Available

Computer Vision Eng.

YOLO Detectron OpenCV
Hire
P Available

AI Product Engineer

Next.js tRPC Vercel AI SDK
Hire
A Available

Prompt Engineer

CoT DSPy Evals
Hire
D Available

AI Data Engineer

dbt Airflow Spark
Hire
Need an AI engineer next week?

Talk to a Coderlab engineer in 24 hours

Tell us what you’re building. We’ll match you with 2-3 pre-vetted profiles within a working day. ₹0 to start.

Book matching call Send job description
✓ No agency commitment ✓ NDA on first reply ✓ Full IP transfer
ML programs

8 machine learning tracks we ship end-to-end

Pick a lane — we bring labelled data strategy, modelling, evaluation harnesses and production serving so metrics move on real traffic.

Most Popular

Computer vision

Detection, segmentation and quality inspection — edge GPUs, line-scan cameras or mobile capture with latency SLAs.

  • YOLO / ViT / SAM-style stacks
  • ONNX + TensorRT where needed
  • Active learning from QC taps
Ask for Quote
NLP + LLM

NLP & document AI

Entity extraction, classification, RAG assistants and fine-tunes — with eval sets and safety gates for regulated domains.

  • BERT / RoBERTa / Llama adapters
  • Citation-grounded RAG
  • Human review queues
Ask for Quote
Forecasting

Time-series & demand

Multi-horizon forecasts with exogenous signals — festivals, weather, promos — wired into planning and purchase systems.

  • TFT / DeepAR-style models
  • Quantile outputs
  • Champion / challenger retrain
Ask for Quote
Growth

Recommendation & ranking

Two-tower retrieval, learning-to-rank and cold-start heuristics for marketplaces, media and SaaS in-product feeds.

  • Real-time + batch features
  • Exploration buckets
  • Offline replay metrics
Ask for Quote
Tabular

Tabular ML & risk

Gradient boosting, calibration and explainability for fraud, credit and operations — where every point of recall costs money.

  • XGBoost / LightGBM / CatBoost
  • SHAP + policy simulators
  • Segmented thresholds
Ask for Quote
Edge

Edge & embedded ML

Model compression, INT8, DSP / NPU paths for devices and on-prem boxes when cloud round-trips are not an option.

  • Pruning + distillation
  • TFLite / Core ML
  • Field A/B on firmware
Ask for Quote
MLOps

MLOps & monitoring

Pipelines, registries, drift detection and rollback — so your data science team sleeps after launch weekend.

  • Kubeflow / Vertex / SageMaker
  • Data + model contracts
  • SLO dashboards
Ask for Quote
GenAI

Generative & multimodal

Image + text products, controlled generation and tool-using agents with budgets, evals and red-team history.

  • Guardrails + eval harnesses
  • Cost caps per session
  • Audit logs for tools
Ask for Quote
Capabilities

What every Coderlab ML engagement ships with — production-first

Data contracts, evaluation harnesses, monitoring and rollback — so models don’t become silent regressions in prod.

DATA · Raw signals

Messy inputs → model-ready tables

Pipelines for logs, images, audio and text — typed schemas, PII handling and leakage checks before training.

PROBABILITIES · Classes

Calibrated scores you can threshold

Platt / isotonic calibration, per-segment thresholds and cost-sensitive decisions — not raw logits in prod.

RUNS · Experiments

Experiment lineage & reproducibility

Git + data snapshots + hyperparams versioned — so you can diff why v2.3 beat v2.2 in March.

QUALITY · Drift & bias

Drift, bias & slice monitors

PSI, performance by cohort, and alert routes to owners before finance or customers feel it.

REVIEW · Humans

Human review for low-confidence

Queues for annotators or SMEs with SLA timers — especially for healthcare, credit and safety.

ORCHESTRATION · Jobs

Training & batch orchestration

Kubeflow / Vertex / SageMaker pipelines with spot-friendly retries and budget caps.

FEATURES · ETL

Feature stores & offline/online parity

Same transforms in batch and serving — Redis / BigQuery / Feast-style patterns with freshness SLAs.

DOCS · Knowledge

RAG for internal playbooks

Ground support and ops answers in your wiki — with citations for auditors and onboarding.

METRICS · Boards

Experiment & prod analytics

PR-AUC, latency percentiles, GPU util, cost per million inferences — boards your CTO and CFO both read.

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Discover how much an AI chatbot will save your business — projected savings, payback period & ROI multiple, in 90 seconds.

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Industries We Model

Deep learning that earns its place in your P&L

From UPI fraud graphs to line-scan QC — we ship models with latency budgets, drift monitors and India-scale data reality.

Healthcare

CV · Risk · Clinical NLP

ICU deterioration risk · pathology patch classifiers · discharge entity extraction · prior-auth ranking

FinTech

Fraud · Credit · Trading signals

Real-time txn scoring · graph mule rings · BNPL default models · market microstructure features

Retail & D2C

Forecast · Search · Vision

Demand by SKU cluster · visual search embeddings · RTO propensity · promo lift modelling

EdTech

Personalisation · Assessment

Next-best-content paths · short-answer auto-scoring assist · dropout risk · multilingual embeddings

PropTech & infra

Valuation · Demand

AVM deep nets · micro-market heatmaps · lead scoring · rental yield forecasts

Logistics

ETA · Load · CV QA

Sequence models for ETAs · load consolidation optimisers · dock damage CV · driver churn

Insurance

FNOL · Risk · NLP

Damage image classifiers · FNOL triage bots · renewal propensity · subrogation doc mining

SaaS

Product ML · Growth

Churn & expansion scores · in-app recommendation rails · LLM assist inside support · usage anomaly detection

Our AI-Powered Process

From idea to launch — accelerated 10× by AI

Same proven 5 steps. With AI co-piloting every stage, weeks compress into days — without sacrificing quality.

1

Discovery

AI-assisted requirement gathering & instant competitor analysis

GPT-5 + Claude
1 week 30 min
2

Design

AI-generated wireframes & mockups, refined by senior designers

Figma AI + v0
2 weeks 2 days
3

Development

Vibe coding with Cursor + Claude pair-programming agile sprints

Cursor + Claude
3 months 3 weeks
4

Testing

AI-generated test suites & automated edge-case discovery

Playwright AI
1 week 2 days
5

Launch

One-click AI deploy + AI uptime monitoring & instant rollback

Vercel + Sentry AI
3 days Same day
Total: ~3.5 months → 4 weeks 10× faster Same quality, lower cost
Our Stack

Powered by the world’s best AI & modern dev tools

From frontier AI models to native mobile frameworks — all the tools we use to ship 10× faster.

AI Tools
Web Dev
Mobile Dev

Book a free ML discovery call — baseline, data reality & a 30-day plan.

Bring a messy CSV, camera feed or doc pile. Leave with a modelling approach, infra sketch (GPU vs CPU), and an eval rubric your leadership can sign off.

Get a Free Quote Book Free Call
Replies in 2 hours NDA-protected No lock-in repos
Stack & platforms

Frameworks + cloud + eval discipline

We standardise on open stacks your hires already know — with budgets, lineage and rollback baked in from week one.

Frameworks

PyTorch TensorFlow 2 JAX scikit-learn XGBoost LightGBM

Serving & export

ONNX Triton TorchServe TensorRT Core ML TF Lite

Data & features

BigQuery Snowflake Databricks Feast Redis Polars

Orchestration

Kubeflow Vertex AI SageMaker Airflow Dagster Ray

Experiment tracking

MLflow Weights & Biases Neptune DVC Git LFS Hydra

LLM & NLP

OpenAI API Anthropic Gemini Llama 3 vLLM Hugging Face
Why Coderlab

Why we are different from other software companies

We’re not the cheapest. Not the oldest. But we’re the smartest choice for businesses that want AI-powered solutions delivered with personal attention at fair prices.

3–5× Faster development

AI-First, From Day One

While traditional IT firms added AI as an afterthought, Coderlab was built from the ground up with AI-first principles. Every project leverages modern tools like Cursor, Claude Code, and GPT-5 — making your software 3-5x faster to build with built-in intelligent features.

7-day MVP delivery standard
40–70% Lower cost vs competitors

Startup-Friendly Pricing

Octal charges $5,000 minimum. Infosys won’t talk under ₹50 lakh. Coderlab solves this. Our projects start from ₹15,000. International MVPs from $500. You get the same technical excellence at 40-70% lower prices than traditional IT firms.

Projects starting from ₹15,000
2hr Average response time

Personal Attention

You work directly with founders and senior team members. Every client gets a dedicated PM, direct WhatsApp line to leadership, and weekly sync calls. We take 20% fewer projects than capacity allows — specifically so every client gets the attention they deserve.

Direct WhatsApp line to founders
15+ Countries served

Gurgaon-Based Quality

Headquartered in Gurgaon — India’s tech capital. Our team combines world-class expertise with local business understanding. For Indian clients, we speak your language. For international clients, we offer IST/GMT/EST overlap and English-fluent management.

IST / GMT / EST timezone overlap
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Testimonials — 200+ Happy Clients

What our clients say

Unfiltered stories from business owners, founders & product leads — across India and 14 other countries.

80% support reduction

“The chatbot integrates seamlessly with our WhatsApp Business and has reduced our support workload by 80%. Would absolutely recommend.”

Dr. Priya Sharma

Owner, Shine Healthcare Clinic · Mumbai, IN

8-day MVP shipped

“Coderlab built our MVP in just 8 days. We raised our seed round 30 days after launch. These guys are the real deal.”

Rajesh Kumar

Founder, FinPath Technologies · Bengaluru, IN

₹8.5L saved

“I was quoted ₹12 lakh by a big firm. Coderlab delivered the same quality CRM for ₹3.5 lakh in half the time. Best decision this year.”

Anjali Desai

COO, Desai Real Estate Group · Pune, IN

6.5× faster loads

“We rebuilt our SaaS dashboard with Coderlab. Load times dropped from 4s to 600ms. Customers literally noticed within a week.”

Ahmed Khan

Founder, DataPulse Analytics · Dubai, AE

+40% pipeline

“Their AI sales agent qualifies leads at 3 AM while we sleep. Pipeline grew 40% in two months — without hiring a single SDR.”

Sneha Iyer

Director, Iyer Realty · Chennai, IN

80% support reduction

“The chatbot integrates seamlessly with our WhatsApp Business and has reduced our support workload by 80%. Would absolutely recommend.”

Dr. Priya Sharma

Owner, Shine Healthcare Clinic · Mumbai, IN

8-day MVP shipped

“Coderlab built our MVP in just 8 days. We raised our seed round 30 days after launch. These guys are the real deal.”

Rajesh Kumar

Founder, FinPath Technologies · Bengaluru, IN

₹8.5L saved

“I was quoted ₹12 lakh by a big firm. Coderlab delivered the same quality CRM for ₹3.5 lakh in half the time. Best decision this year.”

Anjali Desai

COO, Desai Real Estate Group · Pune, IN

6.5× faster loads

“We rebuilt our SaaS dashboard with Coderlab. Load times dropped from 4s to 600ms. Customers literally noticed within a week.”

Ahmed Khan

Founder, DataPulse Analytics · Dubai, AE

+40% pipeline

“Their AI sales agent qualifies leads at 3 AM while we sleep. Pipeline grew 40% in two months — without hiring a single SDR.”

Sneha Iyer

Director, Iyer Realty · Chennai, IN

Hired in 1 day

“I shopped 5 agencies. Coderlab was the only one who shipped working code in the first call. Hired them on the spot.”

Mike Chen

CEO, NexGen Robotics · San Francisco, US

7× faster integration

“Their team integrated Razorpay, Cashfree, and Stripe in 3 days. Other agencies quoted 3 weeks. Their speed is the real superpower.”

Vikram Patel

CTO, Bookmate India · Ahmedabad, IN

Featured on Play Store

“Our mobile app got featured on Play Store within 6 weeks of launch. Coderlab's quality is genuinely European-grade.”

Lisa Müller

Co-founder, MoveFit · Berlin, DE

2-hour response avg

“Founder access on WhatsApp is a game-changer. I message at midnight, I get answers by morning. Try finding that elsewhere.”

Arjun Nair

Owner, Nair Logistics · Kochi, IN

Saved the launch

“We were burning cash on a no-show vendor. Coderlab took over mid-project, fixed all bugs, and shipped on time. Literally saved our launch.”

Tanya Reddy

Product Lead, BloomBox Studios · Hyderabad, IN

Hired in 1 day

“I shopped 5 agencies. Coderlab was the only one who shipped working code in the first call. Hired them on the spot.”

Mike Chen

CEO, NexGen Robotics · San Francisco, US

7× faster integration

“Their team integrated Razorpay, Cashfree, and Stripe in 3 days. Other agencies quoted 3 weeks. Their speed is the real superpower.”

Vikram Patel

CTO, Bookmate India · Ahmedabad, IN

Featured on Play Store

“Our mobile app got featured on Play Store within 6 weeks of launch. Coderlab's quality is genuinely European-grade.”

Lisa Müller

Co-founder, MoveFit · Berlin, DE

2-hour response avg

“Founder access on WhatsApp is a game-changer. I message at midnight, I get answers by morning. Try finding that elsewhere.”

Arjun Nair

Owner, Nair Logistics · Kochi, IN

Saved the launch

“We were burning cash on a no-show vendor. Coderlab took over mid-project, fixed all bugs, and shipped on time. Literally saved our launch.”

Tanya Reddy

Product Lead, BloomBox Studios · Hyderabad, IN

200+ happy clients 4.9 / 5 average rating 98% retention 15+ countries
ML FAQ

Frequently asked machine learning questions

What CTOs and product leads ask before green-lighting models on customer traffic.

How much does an ML or deep learning project cost?

A scoped MVP (single use-case, offline + batch serving, basic monitoring) typically starts around ₹1,50,000 – ₹4,00,000. Real-time inference, multi-model systems and heavy compliance land in the ₹6,00,000 – ₹25,00,000+ range. We quote fixed phases after a discovery call and data sample review.

What if we don’t have clean labelled data?

We start with a data readiness sprint: schema contracts, weak labels, active learning loops and annotator guidelines. Many projects ship v1 with partial labels plus human-in-the-loop, then tighten as your team reviews edge cases.

Do we need our own GPUs?

Not necessarily — we train on Vertex, SageMaker, Lambda Labs or your cloud credits, then right-size serving to CPU/GPU mix. For edge CV we profile on-device and choose INT8 / Core ML paths where cloud GPUs are not in the loop.

How long from kickoff to production?

Many tabular or batch-scoring MVPs reach prod in 4–8 weeks. Deep CV/NLP with custom annotation and hard latency SLAs often need 10–16 weeks. We parallelise data work with modelling so you are not waiting on serial phases.

Who owns the code, data artefacts and models?

You do. Repos, training configs, datasets (where licence allows), model registry entries and runbooks live in your org. We can operate under your GitHub / GCP project from day one.

How do you handle drift and regressions?

We ship PSI / performance monitors, shadow traffic where possible, and versioned rollbacks. Alerts route to Slack / PagerDuty with playbooks — not silent metric decay.

Can you work with India-specific data quirks?

Yes — mixed Hindi–English text, noisy GST fields, festival-driven demand spikes and UPI-scale event rates are normal for us. We design splits and eval slices that reflect your real corridors and cohorts.

Will you fine-tune frontier LLMs for us?

When it is the right tool — with eval harnesses, prompt/version control and spend caps. We pair LLM steps with smaller specialised models where latency or cost would otherwise hurt UX.