AI Solutions
Indovision Services designs, builds and runs AI solutions on Amazon Bedrock and related AWS services, with security, evaluation and cost control planned from the first sprint. We help teams get from an idea to a production assistant, agent or document workflow. Your data stays inside your AWS account, and you can see how well the system performs and what it costs.
Our approach is practical. We start with a defined business use case, prove its value quickly, then harden the solution for production with governance, monitoring and support.
Security
Enterprise-grade security
Cost Control
Optimize & manage AI costs
AI Agents
Build intelligent agents
Monitoring
Track performance in real-time
Indovision AI Services
Explore our AI-powered services on AWS. They are built to automate operations, unlock insights from your data and help your teams make smarter decisions, faster.
QnABot on AWS
A multi-channel, multilingual chatbot powered by large language models that works across your website, telephony and Amazon Alexa.
- Multi-Channel Chatbot Development
- Multilingual Conversational AI
- Knowledge Base Integration
- Communication Platform Integration
- Usage Analytics and Reporting
DeepRacer on AWS
Hands-on machine learning training through autonomous racing. Your team builds practical ML skills it can apply to real projects.
- Secure AWS Deployment and Configuration
- Reinforcement Learning Model Training
- Simulation-Based Model Evaluation
- Community Race Management
- Physical Racing Event Support
Architecture to IaC
Turn architecture diagrams into Infrastructure as Code templates with AI, cutting slow manual coding for AWS deployments.
- Architecture Diagram Analysis
- Automated Infrastructure Code Generation
- AWS CDK Implementation
- Organizational Standards Integration
- AWS Well-Architected Alignment
Generative AI Gateway
One OpenAI-compatible API to reach multiple LLMs, with central model management, access control and cost tracking.
- Unified Multi-Provider LLM Access
- Usage and Cost Management
- Centralized Governance and Access Control
- Cross-Provider Guardrail Implementation
- Amazon ECS and EKS Deployment
Content Moderation with GenAI
Automatically detect and flag harmful or off-brand text and images at scale, with human review where it matters.
- Automated Live Chat Moderation
- AI-Driven Message Filtering
- Serverless Moderation Workflows
- End-to-End Data Encryption
- Consistent AWS CDK Deployment
AI Interviews & Assessments
AI agents screen resumes, run interviews and skill assessments, and analyse results so you find the right talent faster.
- Automated Resume Screening
- AI-Led Candidate Interviews
- Job-Specific Skills Assessments
- Transparent Candidate Scoring
- Human-Led Hiring Decisions
Case Studies
AWS GenAI Case Study
Software Development · AWS Generative AI
Clavis Technologies Builds an Agentic AI Platform on AWS to Accelerate the Full Software Development Lifecycle
A Planner Agent and a team of Specialist AI Agents on Amazon Bedrock automate requirement analysis, architecture recommendations, code and unit-test generation, CI/CD pipeline creation and security gating, with engineers still reviewing and approving everything that is merged or released.
Transportation & Fleet Operations · AWS Generative AI
Nuevas Builds a GenAI-Powered Predictive Maintenance Platform on AWS to Plan Fleet Maintenance Before Breakdowns Occur
A predictive-maintenance platform on AWS that streams OBD-II / CAN bus telemetry from commercial fleet vehicles, detects developing faults with rules and machine-learning anomaly scoring, explains each finding in plain language with Amazon Bedrock, and drafts maintenance work orders.
From AI idea to production
A practical, consultative approach that proves value first, then prepares your solution to run securely at scale.
- 1
Consult
We start with a consultation to understand your goals and define the business use case.
- 2
Assess
We review your current setup and evaluate security, compliance and cost before proposing a plan.
- 3
Validate
We prove the value of the solution quickly, so decisions are based on evidence.
- 4
Build & Harden
We prepare the solution for production with governance, monitoring and automated deployment.
- 5
Run & Improve
We provide support and training, and keep optimizing performance and cost.
Why teams work with Indovision
Enterprise delivery experience, now applied to AI on AWS.
Where AI can help your industry
We tailor every solution to your sector. These examples show how our AI services can apply to your business.
Telecom
- Customer support assistants for voice and chat
- Knowledge search for operations teams
RelatedQnABot
IT/ITES
- Infrastructure code from architecture diagrams
- One controlled API for multiple LLMs
RelatedArchitecture to IaC, AI Gateway
Manufacturing
- Assistants for SOPs and technical documents
- Faster screening for high-volume hiring
RelatedQnABot, AI Interviews
Automotive
- Hands-on ML training through autonomous racing
- Customer and dealer support assistants
RelatedDeepRacer, QnABot
Government
- Multilingual citizen service assistants
- Moderation of public-facing content
RelatedQnABot, Content Moderation
BFSI
- Central governance and cost control for LLMs
- Customer assistants with guardrails
RelatedAI Gateway, QnABot
Getting started
What AI services does Indovision offer?
We offer conversational AI, machine learning training, AI-generated infrastructure code, generative AI gateways, content moderation, and AI interviews and assessments on AWS.
How does a project start?
We begin with a consultation, assess your current environment and share a tailored proposal aligned with your business goals.
Can solutions be tailored to our industry?
Yes. We use a consultative approach to build solutions around your objectives and industry needs.
Security and data
Where does our data stay?
Your data stays inside your AWS account.
How do you handle security and privacy?
We follow strict data protection protocols, including encryption, secure access controls and regular audits.
Can we see how the system performs and what it costs?
Yes. Evaluation, monitoring and cost control are planned from the first sprint, so you have visibility of both.
Delivery and support
Which AWS services do you use?
We build on Amazon Bedrock and related AWS services. For machine learning work, this can include tools such as Amazon SageMaker.
How can we track project progress?
You receive regular status reports and meetings, along with project management tools that give you real-time visibility.
Do you provide training and support?
Yes. We provide on-site training, online tutorials and dedicated support teams to help build your in-house skills.
Get in Touch
Have questions or need assistance? Contact our team today. We’re here to understand your needs and provide the right solutions for your business. Whether you’re looking for expert guidance, exploring our services, or discussing a new project, our team is ready to help. Let’s connect and turn your ideas into reality!
Email Address
enterprise@indovisionservices.in
Mobile Number
+91 9599422216
Headquarters
India, UAE, and South-East Asia
