Applications That Think,
Scale, and Stay Relevant.
Applications That Think, Scale, and Stay Relevant.
Siya re-architects legacy applications, accelerates development with AI-assisted engineering, and builds modular, API-first systems ready for an AI-native world.
Legacy monoliths account for 70% of enterprise application portfolios — and they are the single biggest barrier to AI integration. We change the equation.
Modern applications need to be as legible to AI agents as they are to human users. We re-architect legacy systems, accelerate development with AI tooling, and build the context and integration layers that make your applications AI-native from the ground up.
Modern applications need to be as legible to AI agents as they are to human users. We re-architect legacy systems, accelerate development with AI tooling, and build the context and integration layers that make your applications AI-native from the ground up.
70%
Faster development with AI tooling
60%
Reduction in maintenance overhead post-modernisation
4x
Faster feature delivery after modernisation
Service Offerings
Service Offerings
App Modernisation
AI-Assisted Development
Context Architecture
Agentic Integration
What We Do?
Break down monolithic applications into independent, scalable microservices using the strangler fig pattern.
Systematic technical debt remediation and codebase refactoring to improve maintainability, reduce defect rates, and accelerate developer velocity.
Upgrade legacy tech stacks to modern, cloud-native frameworks and tooling.
Performance and scalability testing, load testing, and chaos engineering.
App Modernisation
AI-Assisted Development
Context Architecture
Agentic Integration
What We Do?
Break down monolithic applications into independent, scalable microservices using the strangler fig pattern.
Systematic technical debt remediation and codebase refactoring to improve maintainability, reduce defect rates, and accelerate developer velocity.
Upgrade legacy tech stacks to modern, cloud-native frameworks and tooling.
Performance and scalability testing, load testing, and chaos engineering.
App Modernisation
AI-Assisted Development
Context Architecture
Agentic Integration
What We Do?
Break down monolithic applications into independent, scalable microservices using the strangler fig pattern.
Systematic technical debt remediation and codebase refactoring to improve maintainability, reduce defect rates, and accelerate developer velocity.
Upgrade legacy tech stacks to modern, cloud-native frameworks and tooling.
Performance and scalability testing, load testing, and chaos engineering.
Our Approach
Our Approach
Siya Data Velocity Framework
01
Assess
Portfolio analysis, technical debt quantification, modernisation priority scoring, and AI-readiness audit.
01
Assess
Portfolio analysis, technical debt quantification, modernisation priority scoring, and AI-readiness audit.
02
Architect
Target state design: microservices decomposition, API contract design, and MCP integration planning.
02
Architect
Target state design: microservices decomposition, API contract design, and MCP integration planning.
03
Build
Agile delivery with AI-assisted development tooling, automated testing, and shift- left security.
03
Build
Agile delivery with AI-assisted development tooling, automated testing, and shift- left security.
04
Context-Enable
Documentation, schema design, and context architecture ensuring AI tools produce quality outputs.
04
Context-Enable
Documentation, schema design, and context architecture ensuring AI tools produce quality outputs.
05
Integrate
API-first integration, agentic interfaces, and MCP-standard connectivity for AI- native systems.
05
Integrate
API-first integration, agentic interfaces, and MCP-standard connectivity for AI- native systems.
Why Siya?
Why Siya?
We build for the agentic era from day one
AI agents are rapidly becoming the primary interface between enterprise systems. Siya architects applications with MCP-native interfaces and agentic integration as core requirements — not future retrofits — so your systems can participate in autonomous workflows from launch.
Context Architecture is a Siya original practice
Most development teams treat documentation as an afterthought. Siya’s Context Architecture practice makes codebase context a first-class engineering asset — directly improving the output quality of AI coding tools and the reliability of AI agent interactions.
Modernisation without the big bang
We do not advocate for full rewrites. Our strangler fig approach lets organisations modernise incrementally — shipping value continuously, retiring technical debt systematically, and enabling agentic integration one bounded context at a time.
We govern agentic integrations, not just build them
Agentic access without governance creates unpredictable systems. Siya builds authentication, scoped permissions, rate limiting, and complete audit logging into every MCP interface — so AI agents can be trusted with enterprise-grade access.
We build for the agentic era from day one
AI agents are rapidly becoming the primary interface between enterprise systems. Siya architects applications with MCP-native interfaces and agentic integration as core requirements — not future retrofits — so your systems can participate in autonomous workflows from launch.
Context Architecture is a Siya original practice
Most development teams treat documentation as an afterthought. Siya’s Context Architecture practice makes codebase context a first-class engineering asset — directly improving the output quality of AI coding tools and the reliability of AI agent interactions.
Modernisation without the big bang
We do not advocate for full rewrites. Our strangler fig approach lets organisations modernise incrementally — shipping value continuously, retiring technical debt systematically, and enabling agentic integration one bounded context at a time.
We govern agentic integrations, not just build them
Agentic access without governance creates unpredictable systems. Siya builds authentication, scoped permissions, rate limiting, and complete audit logging into every MCP interface — so AI agents can be trusted with enterprise-grade access.
We build for the agentic era from day one
AI agents are rapidly becoming the primary interface between enterprise systems. Siya architects applications with MCP-native interfaces and agentic integration as core requirements — not future retrofits — so your systems can participate in autonomous workflows from launch.
Modernisation without the big bang
We do not advocate for full rewrites. Our strangler fig approach lets organisations modernise incrementally — shipping value continuously, retiring technical debt systematically, and enabling agentic integration one bounded context at a time.
Context Architecture is a Siya original practice
Most development teams treat documentation as an afterthought. Siya’s Context Architecture practice makes codebase context a first-class engineering asset — directly improving the output quality of AI coding tools and the reliability of AI agent interactions.
We govern agentic integrations, not just build them
Agentic access without governance creates unpredictable systems. Siya builds authentication, scoped permissions, rate limiting, and complete audit logging into every MCP interface — so AI agents can be trusted with enterprise-grade access.
Use Cases
Use Cases
Logistics & Supply Chain
3M Deliveries, 11 Cities: The Platform Powering India's Last-Mile Logistics Revolution
Application Development
Social Networking
85% Retention, 4.2x Engagement: Invite-Only Community Built for Women Professionals
Application Development
PropTech
75% Less Time Finding Housemates: ML-Powered Matching for Urban Renters
AI/ML
Marketplace
20,000 Test Passes: Building the UK's Leading Driving Instructor Marketplace
AI/ML
Logistics & Supply Chain
3M Deliveries, 11 Cities: The Platform Powering India's Last-Mile Logistics Revolution
Read More
Logistics & Supply Chain
3M Deliveries, 11 Cities: The Platform Powering India's Last-Mile Logistics Revolution
Application Development
Social Networking
85% Retention, 4.2x Engagement: Invite-Only Community Built for Women Professionals
Read More
Social Networking
85% Retention, 4.2x Engagement: Invite-Only Community Built for Women Professionals
Application Development
PropTech
75% Less Time Finding Housemates: ML-Powered Matching for Urban Renters
Read More
PropTech
75% Less Time Finding Housemates: ML-Powered Matching for Urban Renters
AI/ML
Marketplace
20,000 Test Passes: Building the UK's Leading Driving Instructor Marketplace
Read More
Marketplace
20,000 Test Passes: Building the UK's Leading Driving Instructor Marketplace
AI/ML
Is your application estate holding back your AI ambitions?
Is your application estate holding back your AI ambitions?
Our Application Modernisation Assessment takes 2 weeks and delivers a scored technical debt analysis, AI-readiness audit, and a phased modernisation roadmap. Fixed scope, clear deliverables.