Project Mart
Turn Data into Competitive Advantage

AI & ML Solutions in Bengaluru

Our Bengaluru data scientists build production-ready models—NLP, computer vision, and generative AI—deployed with MLOps best practices for consistent ROI.

Key Offerings

End-to-end AI—from idea to inference

🧭

AI Strategy Workshop

Roadmap to ROI

Benefit: Identify high-impact use-cases and build a phased adoption plan.
📈

Predictive Analytics

Forecast tomorrow’s KPIs

Benefit: Demand, churn, and CLV models that inform smart decisions.
💬

NLP Chatbots

24×7 conversational support

Benefit: GPT-powered bots reduce ticket load and boost CSAT.
👁️

Computer Vision

See beyond pixels

Benefit: Image classification, defect detection, and OCR pipelines.
🪄

Generative AI Applications

Create, not just predict

Benefit: Text, image, and code generation fine-tuned to your domain.
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MLOps & Model Monitoring

Reliable, scalable inference

Benefit: CI/CD, drift alerts, and auto-retraining keep models accurate.

Why Choose Us

Research-grade models, business-grade impact

Deep Knowledge

PhD-Level Expertise

Researchers from IISc & IITs translate cutting-edge papers into production.

Ship Fast

MLOps Culture

Automated pipelines ensure reproducibility and cost control.

Quick Wins

Domain-Specific Models

Pre-built accelerators for fintech, retail, and healthcare cut time-to-value.

Responsible

Ethical AI

Bias audits and explainability dashboards build stakeholder trust.

Technology Stack We Use

State-of-the-art ML tooling

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TensorFlow / PyTorch

Deep-learning frameworks for custom neural networks.

☁️

AWS SageMaker

Fully-managed training, tuning, and deployment.

📝

LangChain & OpenAI APIs

Rapid prototyping of LLM-powered apps.

Apache Airflow

Orchestrated data & training pipelines.

📊

MLflow

Model experiment tracking & registry.

🐳

Docker / Kubernetes

Containerised, auto-scaling inference servers.

Success Stories from Bengaluru

Models that moved the metrics

“Churn-prediction model cut attrition by 18 % within one quarter.”
Shalini Rao
“GPT-powered support bot deflected 65 % of tickets—CSAT hit a record high.”
Gaurav Shekhar
“MLOps pipeline slashed model downtime to near-zero and halved AWS costs.”
Divya Narayan

Frequently Asked Questions

AI clarity for non-tech execs

Do you build on-prem or cloud?+
Both—cloud-native on AWS/Azure/GCP, or Kubernetes on-prem clusters.
How long to deliver an MVP?+
Most prototypes are production-ready within 6–8 weeks.
Will you train our team?+
Yes—hands-on workshops for data engineers, analysts, and business users.
How do you handle data privacy?+
Encryption at rest/in transit, anonymisation, and strict access controls.
Can you fine-tune open-source LLMs?+
Absolutely—Llama 3, Mistral, and Mixtral models fine-tuned on your domain data.
Do you offer post-deployment monitoring?+
Drift detection, retraining triggers, and SLA dashboards are part of our managed MLOps plan.

Ready to Add AI to Your Product Roadmap?

Book a free AI opportunity assessment and receive a prioritised use-case matrix.