The AI Adoption Dilemma:
Powerful Promises - Fragile Reality
Inconsistent performance and brittle infrastructure are turning AI pilots into costly experiments. It's the software dilema all over again.
ROI Shortfall: Nearly 90% of AI projects miss their ROI targets and only 10% are ever operational in production.
Production Bottlenecks: Fewer than half (48%) of AI initiatives make it from prototype to live deployment, with an average eight‑month journey.
System Fragility: 85% of AI efforts falter due to poor data quality and a lack of fault‑tolerant engineering, leading to downtime and unpredictable outputs.
You've invested in AI to drive growth, but without both performance and resilience, projects stall, budgets overshoot, and stakeholder confidence erodes. The good news is that we can help.
Our Solution: Engineering AI That Performs and Consistently
We turn AI ambition into rock‑solid production by marrying best‑in‑class agentic frameworks with enterprise‑grade resilience patterns and continuous performance optimization.
Performance Driven Methodology
We measure our success by your business outcomes; conversion rates,
customer satisfaction, and revenue impact. Here's how we deliver
Customized Data-Driven Intelligence
We fine-tune models on your business data and domain-specific rules, then continuously collect real outcomes to refine agent decisions, ensuring accurate results from day one that get better over time
Synthetic Outcome Testing
Automated simulations mimic key customer interactions (orders, support requests, questions) before and after every change, ensuring agents perform as expected
Human‑in‑the‑Loop Checks
Critical decisions pass through expert review via automated checks to catch edge cases and fine‑tune responses for nuance, compliance, and quality
Continuous Benchmarking
Every action is logged and scored against your targets in live dashboards, driving automated insights and opportunities for improvement so your AI stays on track and you don't miss opportunities
Framework‑Agnostic Expertise
We select and integrate the industry's leading agentic frameworks (AgentIQ, LangGraph, Semantic Kernel, Pydantic AI, Vertex AI, and more) so your solution always runs on the tool best suited to the task.
Agent IQ
Intelligent agent platform with enterprise-grade analytics and automation capabilities.
LangGraph
Graph-oriented LLM orchestration framework for building stateful, multi-agent applications.
CrewAI
Multi-agent framework for collaborative problem-solving with specialized role-based agents.
Semantic Kernel
Microsoft's SDK for integrating AI services into applications with connectors and plugins.
Pydantic AI
Python framework for LLM function calling with data validation and structured outputs.
Vertex AI Agent Builder
Google Cloud's end-to-end platform for building and deploying sophisticated AI agents.
AWS Bedrock Agents
Amazon's managed service for building and scaling generative AI agents with orchestration capabilities.
OpenAI Agents
Advanced AI assistants with function calling capabilities and tool integration for complex workflows.
Resilient, Fault‑Tolerant Design
Containerized microservices, multi‑region deployments, automated failovers, and durable state checkpointing ensure your agents never miss a beat, and automatically restart from the last known good state without losing progress or data.
Highest-Grade Reliability
Seamless Auto‑Scaling
Intelligent load balancing and elastic scaling across CPU, GPU, and memory resources let your AI workforce expand on‑demand without performance degradation or idle overhead.
End‑to‑End Observability & Analytics
Built‑in metrics, distributed tracing, and error‑budget monitoring give you real‑time visibility. Alerts, dashboards, and root‑cause tooling mean you catch anomalies before they impact business.
Gain-Share Model:
We Profit Only When You Prosper
Traditional vendors bill by the hour with a built in profit margin so they win even when a project flops; we don't. Our profit kicks in only after your AI workforce proves measurable value, aligning our incentives with yours from day one.
How does the Gain-Share Model Work?
Build at Cost
We design, deploy, and document every expense with zero markup. Costs are milestoned.
Baseline & Verify
Together we set hard KPIs (savings, revenue lift, CSAT). Our platform tracks them in real time.
Share the Gains
Once targets are hit, you keep the lion's share; we earn a small percentage of the value created.
Why Clients Prefer Gain‑Share Contracts
Risk Alignment
Both parties have skin in the game, a model Gartner calls "mandatory for complex, evolving services."
Faster ROI
Vendors in gain‑share deals deliver value up to 25% faster than those on fixed fees, according to peer‑reviewed PBC studies.
Continuous Improvement Included
Ongoing optimisation is baked into the fee (not an extra statement of work) mirroring best practice checklists for outcome‑based sourcing.
Budget Predictability
Costs scale with success, protecting finance teams from overruns; Deloitte highlights this as a primary reason enterprises adopt outcome‑based monetisation.
Relationship Durability
Studies show gain‑share partnerships have higher renewal rates because both sides benefit long‑term.
True Partnership
Focuses on collaborative, sustained success and mutual growth, moving beyond transactional vendor dynamics.
Let's Build Something
Amazing Together
We're always excited to hear from you and answer any questions you may have.
