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“At Nexilo, we believe every business deserves the power of AI—whether you're just starting or scaling fast. My team and I are here to support your vision and help you move forward with confidence.”
Challenge
- PCI DSS certification and FCA approval, ensuring full regulatory compliance
- Ultra-low latency transactions under 250 milliseconds, delivering a seamless user experience.
- Successful integration of multiple third-party APIs, including GPS, Xero, and CashFlows
Notchup had evolved far beyond its origins as a job-matching platform, but the underlying product architecture and user experience were still built around the constraints of a legacy job-board model.
To serve modern technology organisations, the platform needed to become:
- A predictive delivery engine capable of forecasting risks and delays
- A talent intelligence system mapping every engineer’s skill, behaviour patterns, and working style
- A resource allocation tool that assigns the right people to the right projects automatically
- A people-ops automation layer handling reviews, performance insights, and workflows
Engineering leaders were managing teams of 50 to 500 people with fragmented visibility.
Tools were disconnected. Context was lost.
Operational decisions relied on intuition instead of data-backed intelligence.
Notchup needed a platform architecture capable of:
- Processing high-volume engineering signals with low latency
- Running AI agents that interact with real-time behavioural and performance data
- Providing actionable recommendations, not dashboards
- Serving as the operational brain of the engineering organisation
The existing system couldn’t scale to this vision.
Key Objectives
- Redesign Notchup into a scalable, cloud‑native platform built for engineering organisations
- Transform the legacy job‑board model into an AI‑driven product capable of predictive delivery and talent intelligence
- Build a unified data engine ingesting signals from GitHub, Slack, Jira, Linear, ATS systems, and other engineering tools
- Enable low‑latency processing of behavioural, performance and productivity signals
- Operationalise AI agents to support decision‑making across delivery, capacity planning, skills intelligence, and people ops
- Shift engineering leaders from intuition‑based decisions to data‑driven, real‑time recommendations
- Create a product experience capable of supporting teams of 50 to 500 engineers
- Establish a foundation for future integrations, automation and enterprise‑level scalability
Solution
Innovify partnered with Notchup to rebuild the platform as a next-generation AI Chief of Staff for engineering organisations.
Data & AI Architecture
A new AI-first architecture was designed to unify engineering, people, and delivery data:
- Multi-source ingestion layer integrating GitHub, Slack, Jira, Linear, ATS systems, and more
- Vector embeddings and semantic search to model skill depth and engineer–task fit
- Real-time AI agents analysing productivity signals, delivery risks, and behavioural patterns
- Predictive modelling for roadmap drift, capacity bottlenecks, and burnout risks
- Continuous ML training loops fed by engineering telemetry
AI Agents
Innovify helped operationalise four core AI agents inside the platform:
- Engineering Management Co-Pilot Monitors velocity, flow, delivery drift, and risk signals in real time.
- Skills & Growth Intelligence Agent Maps skills, behavioural traits, motivations, and potential for every engineer.
- Roadmap & Capacity Planning Agent Predicts under-capacity, simulates headcount changes, and prevents overload.
- People Ops Automation Agent Automates reviews, insights, attrition prediction, retention workflows.
Results
- PCI DSS certification and FCA approval, ensuring full regulatory compliance
- Ultra-low latency transactions under 250 milliseconds, delivering a seamless user experience.
- Successful integration of multiple third-party APIs, including GPS, Xero, and CashFlows
Notchup emerged as one of the most advanced engineering-management intelligence platforms in the market—no longer a job board, but a strategic AI Co-Pilot shaping how modern engineering organisations operate.
Measurable impact
- Predictive delivery allowed leaders to forecast risks before they surfaced
- Precision resource allocation matched engineers to initiatives based on capability and load
- Deep skills intelligence gave leaders visibility into individual and team-level potential Reduced burnout and context switching through intelligent workload balancing
- Automated people-ops reduced admin time for leaders and HR teams
- A unified operational brain aligned engineering execution with strategic OKRs
- Notchup now helps engineering organisations scale predictably, operate with clarity, and make high-impact decisions with AI-driven precision.
