InnofyConsultancy Pvt. Ltd.Talk to InnofyInnofy helps startups and enterprises design, build and operate secure cloud platforms, AI features, mobile apps and web products with a practical engineering approach.
Delivered across logistics, education, healthcare, IoT and digital platforms
AWS services used across compute, data, security, AI and DevOps
Cloud, IoT, education, health-tech and logistics implementations
Architecture, implementation, monitoring and managed support
Innofy combines cloud architecture, AI engineering and product delivery so teams can ship secure, scalable systems and keep them running in production.
Architecture, migration, modernization and managed cloud operations for AWS workloads that need security, scalability and cost control.
AI features for education, operations, customer support and document workflows using AWS-native services and practical product integrations.
User-focused mobile apps with secure APIs, analytics, notifications and cloud-connected backends.
Responsive, high-performance web applications for operations, learning, commerce, dashboards and customer portals.
CI/CD, observability, release automation and support processes so teams can move quickly without losing control of production.
Cloud backends for connected devices, logistics automation, image recognition and operational event processing.
Practical, secure AI tied to real workflows — from copilots and RAG to document intelligence and computer vision, all engineered on AWS.
Domain-specific assistants and copilots embedded in your product and workflows, grounded in your own data with Amazon Bedrock.
Retrieval-augmented generation over your documents, policies and knowledge bases, with citations, guardrails and access control.
Automatically extract, classify and summarize invoices, forms and contracts using Amazon Textract, Comprehend and Bedrock.
Image and video understanding - detection, recognition and quality inspection - with Amazon Rekognition and custom models.
Chatbots, IVR and voice experiences with natural-language understanding, tool calling and smooth human handoff.
Multi-step AI agents that take actions across your systems, with logging, guardrails and human-in-the-loop review.
Each project below reflects systems Innofy has architected, built and operated in production across logistics, agri-tech, education, healthcare and IoT.
Designed and deployed a logistics and yard automation platform that ingests real-time DGPS data and camera feeds. The system uses Amazon Rekognition for driver face detection at automated entry gates and runs in production with active support.
Architected dev, staging and production environments for multiple applications across AWS Amplify, EC2 and ECS. Containerized services run on ECS Fargate while field IoT devices capture weather data by latitude and longitude.
Built an online learning platform for Class 5 to Class 12 students across Kerala State and CBSE boards, with AI learning features powered by Amazon Bedrock.
Delivered an online education platform similar in architecture to Enrouting Careers, deployed on Amazon EC2 and RDS with AI capabilities powered by Amazon Bedrock.
Worked on a Cipla IoT device platform with a Windows client and AWS-backed messaging, storage and database services.
Led the migration of the Hitchline platform from AWS to Google Cloud, including re-architecture and workload transition from the existing AWS foundation.
Provided AWS and web application support for a health-tech platform during the 2019-2022 delivery window, covering cloud operations and ongoing platform reliability.
Innofy brings patterns, accelerators and operational know-how from real deliveries across these sectors.
Yard automation, tracking, gate access and real-time operational visibility.
AI-assisted learning platforms, content generation and scalable course delivery.
Secure, reliable platforms for connected devices and clinical workflows.
IoT data capture, weather intelligence and multi-environment cloud platforms.
Device ingestion, event-driven processing and real-time dashboards.
Multi-tenant products, dashboards, billing and deep API integrations.
Innofy can position AI as a serious engineering capability: Bedrock integrations, copilots, document workflows, computer vision and knowledge automation backed by AWS-grade operations.
A pragmatic, production-grade stack across AI, compute, data, DevOps, security and the frontend.
Innofy has delivered for teams across logistics, education, healthcare, IoT and digital platforms — from first architecture through production support.
Innofy brought cloud architecture, implementation and support together in one practical delivery motion.
The team helped us convert a complex idea into a working product with AWS services, automation and a clear release path.
Their strength is understanding business workflows and translating them into secure, scalable cloud systems.
Clarify business goals, current systems, users, security needs and the AWS services that fit the workload.
Create a delivery-ready cloud and product plan covering environments, data, APIs, AI capabilities and operations.
Implement the product, cloud infrastructure, admin workflows, integrations, monitoring and release pipeline.
Support production with observability, optimization, incident handling and continuous improvement.
Yes. Innofy helps teams strengthen their AWS practice with Well-Architected reviews, security and operational hardening, documented workloads and production-grade reference architectures that support partner and audit conversations.
AWS is the primary cloud focus, but Innofy also delivers AI, mobile apps, web platforms and cloud migrations, and can work across other cloud environments when a project needs it.
Most engagements begin with a short discovery conversation about your goals, current systems and constraints. From there Innofy proposes an architecture and delivery plan, then moves into build and run with clear milestones.
We work in three ways: fixed-scope projects for a clearly defined deliverable, a dedicated team that extends your in-house engineers, and monthly managed support for systems already in production. Many clients combine a build phase with ongoing run support.
It depends on scope. Discovery usually takes one to two weeks, a focused MVP or AI feature often ships in six to twelve weeks, and larger platforms are delivered in phases. You get a milestone-based timeline before work begins.
Security is built in from the start: least-privilege IAM, secrets management, encryption in transit and at rest, monitoring, backups and disaster-recovery planning, all aligned to the AWS Well-Architected Framework. We can also support your audit and compliance requirements.
Yes. Innofy can extend your in-house team, work directly in your AWS accounts and repositories, run code and architecture reviews, and hand over with documentation and knowledge transfer so your team stays in control.
Yes. Our build-and-run model covers monitoring, incident response, performance and cost optimization, security updates and continued feature work, so production systems keep running reliably after go-live.
Yes. We review architecture and usage to find savings through right-sizing, autoscaling, storage lifecycle policies, savings plans and reserved capacity, and removing idle resources, without compromising reliability or performance.
You do. Innofy builds in your AWS accounts and your repositories, so you retain full ownership of the code, data and infrastructure at every stage of the engagement.
Share the outcome you're aiming for, your current stage and the systems involved. We'll reply with a practical next step and how Innofy can help.