ML PIPELINES & AI AUTOMATION

We build systems
that run your data.

End-to-end ML pipelines, AI automation, and real-time inference systems — engineered for production from day one.

Start a project See our work
DATA_INGESTION
FEATURE_ENG
MODEL_TRAIN
VALIDATION
INFERENCE
MONITORING
DEPLOYED ✓
PIPELINE ACTIVE
latency ~47ms
accuracy 97.3%
uptime 99.9%
ML PIPELINE ENGINEERING
AI AUTOMATION WORKFLOWS
REAL-TIME INFERENCE
ANOMALY DETECTION
DATA DASHBOARDING
CLOUD DEPLOYMENT (AWS)
CONTRASTIVE LEARNING
FEATURE ENGINEERING
TIME-SERIES MODELING
MLOPS & MONITORING
ML PIPELINE ENGINEERING
AI AUTOMATION WORKFLOWS
REAL-TIME INFERENCE
ANOMALY DETECTION
DATA DASHBOARDING
CLOUD DEPLOYMENT (AWS)
CONTRASTIVE LEARNING
FEATURE ENGINEERING
TIME-SERIES MODELING
MLOPS & MONITORING
WHAT WE BUILD

Four services. Zero bloat.

We pick the problem, build the system, hand you something that actually runs.

01
ML Pipelines

Full-cycle pipeline engineering — data ingestion, feature engineering, model training, hyperparameter tuning, and serialised inference systems. Production-ready from day one.

scikit-learn pytorch mlflow docker
02
AI Automation

Event-driven automation systems that connect your stack — CRMs, APIs, databases — with AI decision layers. Build once, run forever.

n8n aws ec2 firestore REST APIs
03
Data & Analytics

Transform raw data into actionable intelligence. Interactive dashboards, predictive models, and KPI reporting systems — designed for non-technical stakeholders.

power bi pandas matplotlib sql
04
Anomaly Detection

Real-time classification systems for fraud, intrusion, quality control — sub-second inference on streaming temporal data, deployed on your existing infrastructure.

random forest xgboost streaming real-time
0
% avg model accuracy across projects
0
ms inference latency, real-time systems
0
production pipelines shipped to date
0
cloud platforms supported out of the box
HOW WE WORK

Structured delivery.
No surprises.

01
Scope & Define

One call. We understand your data, your problem, and your deadline. No discovery theatre.

02
Design Pipeline

Architecture document. Data flow diagram. Model selection rationale. Shared before we write a line of code.

03
Build & Test

Iterative development with weekly check-ins. Reproducible experiments tracked from the start.

04
Deploy & Hand Off

Full deployment on your infrastructure. Documentation, runbooks, and a working system you actually own.

TECH STACK

The tools we trust.

No framework religion. We pick what ships fastest and runs hardest for your problem.

Python
PyTorch
TensorFlow / Keras
Scikit-learn
XGBoost
Pandas
NumPy
MLflow
W&B
Docker
GitHub Actions
AWS EC2
AWS S3
Firestore
n8n
OpenCV
Power BI
Matplotlib
SQL
Bash / Linux
REST APIs
OAuth2
Node.js
TypeScript
OUR TEAM

Meet the people behind Synthrun.

Click any card to view their portfolio.

AS
Aditya Srivastava
ML Engineer & MLOps Practitioner — Full-cycle ML pipeline engineering, self-supervised learning, and cloud infrastructure.
View portfolio ↗
DS
Devansh Singh
AI/ML Engineer & Generative AI Practitioner — NLP, recommender systems, and LLM-powered agents.
View portfolio ↗
AV
Ayush Verma
AI/ML Engineer & Full-Stack Developer — Full-stack fintech and career-tech apps with AI integration.
View portfolio ↗
AS
Ashray Singh
Product Management & AI — Cross-functional leadership, structured problem-solving, and product strategy.
View portfolio ↗

// START A PROJECT

Ready to run
your pipeline?

Tell us what you're building. We'll tell you how fast we can ship it.

Get in touch
hello@synthrun.io

RESPONSE WITHIN 24 HOURS · BASED IN INDIA · SERVING US & UK CLIENTS