AI-Powered Software Engineering

We Build Scalable AI
Platforms & ML Systems

Deepblick Digital engineers production-grade AI platforms, machine learning pipelines, and data-driven software that transforms how businesses operate.

99.9%
Uptime SLA
<50ms
Inference Latency
10M+
API Calls / Day
deepblick-platform — dashboard
Active Models
12
Inference / hr
48.2K
Accuracy
97.3%
Model Performance — Last 7 Days
Capabilities

End-to-End AI Engineering

From data pipelines to production deployment — we handle the entire ML lifecycle.

ML Model Development

Custom model training, fine-tuning, and optimization for your specific domain requirements.

Cloud-Native Deployment

Scalable AWS infrastructure with auto-scaling, monitoring, and zero-downtime deployments.

Real-Time Inference

Sub-50ms inference pipelines for time-critical applications and streaming data.

Data Engineering

Robust ETL pipelines, data lakes, and real-time streaming architectures.

MLOps & Governance

Model versioning, A/B testing, drift detection, and compliance-ready audit trails.

API Development

Production-ready REST & gRPC APIs with authentication, rate limiting, and documentation.

Built on world-class infrastructure

AWS
PYTHON
TENSORFLOW
PYTORCH
KUBERNETES
DOCKER
Platform

Deepblick AI Platform

Deepblick AI Platform enables scalable ML model deployment, real-time inference, and intelligent automation — all from a single unified control plane.

Model Registry

Version, track, and manage all your ML models with full lineage tracking. Compare experiments, tag production models, and roll back instantly.

Version Control A/B Testing Auto Rollback

Inference Engine

High-throughput, low-latency inference with auto-scaling. Supports batch, real-time, and streaming prediction patterns out of the box.

Auto-Scaling GPU Optimized Streaming

Pipeline Orchestration

Build, schedule, and monitor ML pipelines with visual DAG editors. Connect data sources, transformations, training, and deployment in a unified workflow.

DAG Editor Scheduling Monitoring

Observability Suite

End-to-end monitoring with model drift detection, data quality alerts, performance dashboards, and cost analytics in a centralized console.

Drift Detection Alerts Cost Analytics

Simple, Powerful API

Deploy and call models with just a few lines of code.

inference.py
import deepblick

# Initialize client
client = deepblick.Client(api_key="your-api-key")

# Deploy model
model = client.models.deploy(
    name="sentiment-classifier",
    framework="pytorch",
    instance="ml.g4dn.xlarge"
)

# Real-time inference
result = model.predict({
    "text": "Deepblick platform is amazing"
})

print(result.label)  # "positive" (0.97)
Use Cases

Real-World AI Applications

Our platform powers mission-critical AI systems across industries, delivering measurable business outcomes at scale.

Predictive Analytics

Production

Time-series forecasting, demand prediction, and anomaly detection systems that process millions of data points in real-time. Our models achieve 94%+ accuracy on client benchmarks, enabling proactive decision-making.

94%
Forecast Accuracy
2.4M
Events / Hour
35%
Cost Reduction
<100ms
Response Time
Amazon SageMaker Amazon S3 AWS Lambda

NLP Automation

Production

Document understanding, sentiment analysis, entity extraction, and conversational AI systems. Process unstructured text at scale with domain-specific fine-tuned language models that understand context and nuance.

97%
Entity Accuracy
15
Languages
500K
Docs / Day
60%
Time Saved
Amazon Comprehend Amazon SageMaker Amazon API Gateway

Computer Vision Systems

Production

Object detection, image classification, OCR, and video analytics pipelines. Deployed across manufacturing QA, retail analytics, and autonomous inspection systems with real-time edge processing.

99.2%
Detection Rate
30fps
Processing
Edge
Deployable
40%
Error Reduction
Amazon Rekognition Amazon EC2 AWS IoT Greengrass

AI Decision Engines

Production

Intelligent automation systems that combine multiple ML models with business rules for complex decision-making. Used in fraud detection, risk scoring, recommendation engines, and dynamic pricing.

10M+
Decisions / Day
<20ms
Decision Time
99.9%
Availability
Auditable
Explainable AI
AWS Lambda Amazon DynamoDB Amazon SageMaker
Technology Stack

Powered by AWS

Our platform is built on enterprise-grade AWS infrastructure, ensuring security, scalability, and reliability at every layer.

Amazon EC2

Compute

GPU-accelerated instances for model training and high-performance inference workloads with auto-scaling.

Amazon S3

Storage

Scalable object storage for datasets, model artifacts, and training data with lifecycle management.

AWS Lambda

Serverless

Event-driven serverless functions for lightweight inference, data preprocessing, and pipeline triggers.

Amazon SageMaker

ML Platform

End-to-end ML lifecycle management including training, tuning, deployment, and monitoring at scale.

Amazon API Gateway

API Management

Secure, scalable API endpoints with throttling, caching, and authentication for all inference services.

AWS IAM & VPC

Security

Enterprise security with fine-grained access control, network isolation, encryption at rest and in transit.

Full Technology Stack

Python
Core Language
PyTorch
Deep Learning
TensorFlow
ML Framework
FastAPI
API Layer
Docker
Containers
Kubernetes
Orchestration
Apache Kafka
Streaming
PostgreSQL
Database
Architecture

System Architecture

A modular, event-driven architecture designed for scale, resilience, and rapid iteration.

Data → Processing → ML Model → API → Application

Data Sources
APIs, Databases,
Streams, Files
Processing
ETL, Feature Eng,
Validation
ML Model
Training, Inference,
Optimization
API Layer
REST, gRPC,
WebSocket
Application
Web, Mobile,
IoT, SaaS

Data Ingestion

  • Real-time streaming via Kafka
  • Batch processing with S3
  • Schema validation & quality checks
  • Multi-source connectors

ML Pipeline

  • Automated feature engineering
  • Distributed training on SageMaker
  • Hyperparameter optimization
  • Model versioning & registry

Serving & Monitoring

  • Auto-scaling inference endpoints
  • A/B testing & canary deploys
  • Model drift detection
  • Cost optimization analytics

Privacy Policy

Last updated: January 2025

1. Introduction

Deepblick Digital Private Limited ("Company," "we," "our," or "us") is committed to protecting your privacy. This Privacy Policy explains how we collect, use, disclose, and safeguard your information when you visit our website and use our AI platform services.

2. Information We Collect

Personal Information

We collect personal information you provide directly, including:

  • Name, email address, phone number
  • Company name and job title
  • Payment and billing information
  • Communication preferences
  • Information provided through forms and inquiries

Usage Data

We automatically collect information about your interactions with our platform:

  • IP address and device information
  • Browser type and operating system
  • Pages visited and time spent
  • API usage patterns and performance metrics
  • Cookies and similar tracking technologies

Customer Data

When you use our platform, we process data you upload or provide, including training data, datasets, and model parameters. This data is encrypted and stored securely on AWS infrastructure.

3. How We Use Your Information

  • To provide and maintain our AI platform services
  • To process transactions and send related information
  • To improve and optimize our services and user experience
  • To send marketing communications (with your consent)
  • To respond to inquiries and provide customer support
  • To monitor and analyze usage trends and improve security
  • To comply with legal obligations and enforce our agreements
  • To prevent fraudulent transactions and protect against liability

4. Data Security

We implement advanced security measures to protect your information:

  • End-to-end encryption for data in transit and at rest
  • AWS compliance with SOC 2, ISO 27001 standards
  • Regular security audits and penetration testing
  • Role-based access control and authentication
  • Automated threat detection and monitoring

5. Data Retention

We retain your information for as long as necessary to provide our services and fulfill the purposes outlined in this policy. You may request deletion of your data at any time, subject to legal retention requirements. Archived backups are retained for 90 days for disaster recovery purposes.

6. Third-Party Sharing

We do not sell your personal information. We may share information with:

  • AWS service providers (computing, storage, analytics)
  • Payment processors for transaction handling
  • Legal counsel and compliance advisors
  • Law enforcement when required by law

7. Your Rights

You have the right to:

  • Access your personal data and request copies
  • Correct inaccurate or incomplete information
  • Request deletion of your data (right to be forgotten)
  • Withdraw marketing consent at any time
  • Data portability and to restrict processing
  • Lodge complaints with data protection authorities

8. Cookies and Tracking

We use cookies and similar technologies to enhance your experience. You can control cookie settings through your browser. Essential cookies are necessary for platform functionality and cannot be disabled.

9. GDPR Compliance

For users in the European Union, we comply with the General Data Protection Regulation (GDPR). We have a Data Protection Officer available for inquiries. We process data only with valid legal basis and ensure data minimization principles are followed.

10. Contact Us

For privacy-related inquiries, contact us at:

Deepblick Digital Private Limited
Email: privacy@deepblick.com
We will respond to requests within 30 days.

Terms of Service

Last updated: January 2025

1. Agreement to Terms

By accessing and using the Deepblick Digital AI Platform (the "Service"), you accept and agree to be bound by the terms and provision of this agreement. If you do not agree to abide by the above, please do not use this service.

2. Use License

Permission is granted to access and use the Service for legitimate business purposes subject to the following restrictions:

  • You must not modify or copy materials from the Service
  • You must not use materials for commercial purposes without express written permission
  • You must not attempt to decompile or reverse engineer the Service
  • You must not remove any copyright or other proprietary notations
  • You must not transmit unlawful, threatening, or abusive content
  • You must not engage in automated access or scraping
  • You must comply with all applicable laws and regulations

3. Account Registration

When you create an account, you agree to:

  • Provide accurate, complete, and current information
  • Maintain confidentiality of your API keys and credentials
  • Accept responsibility for all activities under your account
  • Notify us immediately of unauthorized access
  • Use the Service only for authorized purposes

4. Acceptable Use Policy

You must not use the Service to:

  • Develop systems for fraud detection, money laundering, or illegal activities
  • Create models that discriminate based on protected characteristics
  • Generate malicious, defamatory, or harassing content
  • Violate intellectual property rights or privacy laws
  • Conduct cyberattacks or unauthorized system access
  • Deploy models in autonomous weapons or surveillance systems without consent
  • Bypass rate limiting, security measures, or access controls

5. Model Training and Data

You retain all rights to data you provide to the Service. By uploading training data, you grant us a license to use it solely for:

  • Training and optimizing your models
  • Improving platform performance and reliability
  • Technical support and debugging

We will not use your data to train models for other customers or commercial purposes without explicit consent.

6. Service Level Agreement (SLA)

We commit to:

  • 99.9% uptime for production inference endpoints
  • Average inference latency under 50ms for standard models
  • Response to critical support issues within 4 hours
  • Regular security updates and patches

Downtime for scheduled maintenance, security updates, or force majeure events is excluded from SLA calculations.

7. Pricing and Billing

Pricing is as follows:

  • Charges are based on API calls, compute hours, and storage usage
  • Billing occurs monthly in arrears on the invoice date
  • Payment is due within 30 days of invoice
  • Late payments may result in service suspension
  • We reserve the right to change pricing with 30 days notice
  • Refunds are not provided for partial months of service

8. Limitation of Liability

To the fullest extent permitted by law:

  • We are not liable for indirect, incidental, or consequential damages
  • Our total liability is limited to fees paid in the preceding 12 months
  • We are not liable for third-party integrations or external services
  • We are not liable for loss of data due to user negligence

9. Indemnification

You agree to indemnify and hold harmless Deepblick Digital from any claims, damages, or costs arising from:

  • Your use of the Service in violation of these terms
  • Your data or models that infringe third-party rights
  • Your violation of applicable laws or regulations
  • Your unauthorized use or disclosure of API credentials

10. Termination

We may terminate your account:

  • For non-payment of invoices after 15 days notice
  • For violation of this Agreement or applicable laws
  • For any reason with 30 days written notice
  • Immediately if you engage in malicious activity

Upon termination, you remain liable for all fees and charges incurred. We will retain your data for 90 days for archival purposes, after which it will be securely deleted.

11. Intellectual Property

The Service, including all content, features, and functionality, is owned by Deepblick Digital, its licensors, or other providers of such material and is protected by copyright, trademark, and other intellectual property laws.

12. Governing Law

These Terms of Service are governed by and construed in accordance with the laws of India, and you irrevocably submit to the exclusive jurisdiction of the courts in that location.

13. Contact Information

For questions about these Terms of Service, please contact:

Deepblick Digital Private Limited
Email: legal@deepblick.com
We will respond within 7 business days.

Get Started

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