Custom Development
Modernization is now within reach for projects you shelved because the cost of understanding the system first was too high.
FRAMEWORK
Companion Economy: Where emotional connection becomes the most valuable currency
73%
of AI use is outside work*
46%
active AI users use it at least occationally for decision making or comparison (Global)**
80%
larger shopping cart value when AI is used in decision making (UK)**
83%
believe the use of AI will result in a wide range of benefits (Global)**
Source: *NBER Study Sep 2025, **KPMG
With ChatGPT and Google’s AI Mode becoming everyday tools, people are no longer relying only on brand websites or apps. Instead, they’re shopping, searching, and making decisions through AI-driven conversations that skip the usual steps. This is both threat and opportunity for companies.
To retain loyalty and customer engagement, companies need to figure out how they tap onto this new kind of customer behavior with their own AI-companions, in their own channels.
In the Companion Economy, growth isn’t about adding more features or squeezing people through rigid purchase and loyalty program funnels. It’s about being close, helpful, and trustworthy where needed and when needed — offering solutions that are personal, timely, predictive, and reliable.
The next big shift isn’t about who has the most advanced technology. It’s about who own the client relationship built on trust.
Most modernization fails because it takes too long to understand the legacy system and risk stays high. Siili uses AI to accelerate discovery, reduce uncertainty, and deliver modernization in safe slices.
Advanced Reasoning: New models can resolve complex, multi-file tasks and architectural shifts.
Autonomous Velocity: Agentic IDEs cut dev timelines from weeks to hours.
Lifecycle Management: Autonomous E2E workflow from planning to deployment.
Faster discovery & analysis
Reduction in development costs.
Automated test coverage
vs. a traditional team of 7–8
The threshold for modernising legacy systems has dropped significantly. Work that once required months of expert analysis and carried unacceptable risk is now achievable.
AI can do the hard part of understanding what a system actually does. What used to take 3 months in manual effort on repetitive analysis and documentation now takes 4–6 weeks.
AI-generated regression suites catch issues before production. Auto-generated tests ensure the new system works exactly like the old one – or better.

Targets only the bottom infrastructure layers. Moving the workloads to cloud VMs without changing any code.
AI acceleration:
Dependency mapping, configuration generation, compatibility analysis.
Move to modern infrastructure with minimal code changes.
AI acceleration:
Pattern detection, automated refactoring, test generation.
Restructure code for maintainability without changing behavior.
AI acceleration:
Logic extraction, spec generation, code scaffolding, validation.
Rewrite from scratch with modern architecture.
AI acceleration:
Gap analysis, data migration mapping, integration planning.
Substitute with commercial off-the-shelf or SaaS solution.
AI acceleration:
Usage analysis, dependency discovery, safe shutdown validation.
We ensure your AI models and AI solutions are deployed safely, reliably, and secure, with continuous monitoring and improvement. Once live, our team handles daily AI operations: managing the AI platform, keeping data fresh, monitoring quality and costs and responding to incidents.
Full-stack AI operations
We manage the entire AI stack – from infrastructure and data pipelines to model serving and application integration. Whether you're running traditional ML models, large language models, or both, we handle the operational complexity.
Proactive monitoring & incident management
Real-time tracking of model accuracy, latency, data drift, and infrastructure health. When issues arise, our team responds rapidly with root cause analysis and preventive measures to avoid recurrence.
Model fine-tuning & retraining
Continuous optimization of model performance through scheduled retraining, prompt engineering, and parameter tuning. We incorporate fresh data to maintain accuracy and relevance over time.
Performance & cost optimization
Ongoing adjustments to maximize speed, throughput, and cost efficiency. We keep infrastructure, token usage, and optimization costs transparent with clear models that avoid surprises.
Security & sovereign AI
Data governance, access controls, audit logging, and compliance monitoring built into operations. We help you maintain GDPR compliance and support on sovereign AI.
Vendor-neutral & flexible
Work in your chosen cloud environment (Azure, AWS, Google Cloud) with your preferred models and tools. Or leverage our sovereign LLM infrastructure for full data control. We adapt to your architecture or utilize our frameworks.
The Perceived Customer Value of ChatGPT was valued at 83€ per month.
More than Spotify, Netflix and Facebook combined.
Source
We'll Help you turn the new era of consumer behavior into a business opportunity
Tap onto wider ecosystem of energy consumption
Become a Prosperity Companion for financial wellness
Re-think digital storefront and expand servicing for both B2C and B2B
Manage life's operations and erase friction
Transform from risk mitigation to wellness catalyst
Companions for for patients and practitioners
We'll Help you turn the new era of consumer behavior into a business opportunity
Own the value chain of devices, end-to-end
Become a Prosperity Companion for financial wellness
Re-think the digital storefront and integrate servicing features B2X
Manage life's operations and erase friction
Transform from risk mitigation to wellness catalyst
Harness self-reflection and wellness for predictive healthcare
Let's explore your role and opportunities in Companion Economy. For companies that owned the digitalization era, vertical leaders with optimized funnels and mature servicing models. The opportunity is equally transformative to Telco, hospitality banking, retail, FMCG to health and wellness.
A bank becomes a prosperity coach. An airline becomes a travel companion.
AI-native modernization is no longer only about updating legacy technology. It’s about rebuilding digital capabilities for a world where AI is embedded into products, services, operations, and decision-making from the ground up.
In our latest guidebook, we explore how organizations can move from traditional modernization programs toward AI-native operating models by combining scalable cloud foundations, AI-powered development, agentic capabilities, and continuous modernization practices.
The guide offers practical insights, real-world perspectives, and concrete ways to turn modernization into measurable business impact.
DownloadWalk away with a clear modernisation roadmap, prioritised by business impact and the confidence to act on it.
Let’s explore your opportunities, map the path forward, and build reliable, AI-powered solutions that scale — together.