Technical & Commercial Diligence
Assess products, technology stacks, unit economics, market claims, and execution risk before capital commits.
You get: a clear read on where the real risk sits - in a form your IC can act on.
Track record
Two 0→scale builds
First employee, then co-founder
Capital raised
$67M+ Series A
Led technology & data through the raise
Platform
National VPP platform
Built dispatch, telemetry & value frameworks
Assets
50+ MW solar / 20+ MWh storage
Across both portfolios
Experience
8 years
Inside distributed energy businesses, not advising from outside
01 // Capabilities
What I Help With
Energy Analytics & Asset Performance
Diagnose underperformance across solar, storage, VPPs, telemetry, and operating data.
You get: the actual constraint on yield - not another dashboard that proves nothing.
Product, Market & Platform Strategy
Shape roadmaps, market entry, and technical architecture across VPPs, DERMS, and energy data infrastructure.
You get: build-versus-buy calls and an architecture that survives contact with AEMO, DNSPs, and real devices.
Commercial Modelling
Pressure-test product economics and asset value frameworks for scale.
You get: a model where the wholesale, network, tariff, and metering assumptions hold up under diligence.
02 // Fit Check
Bring me in when you hear
- The model depends on DER, VPP, or flexible load revenue.
- The company claims optimisation, but the data hasn't been stress-tested.
- The economics rely on wholesale, network, tariff, or metering assumptions.
- The product must integrate with batteries, EV chargers, inverters, meters, or control systems.
- The plan depends on AEMO, MSATS, NMI data, DNSP processes, or flexible exports.
- You need a build-versus-buy call on the technical energy stack.
- You need to translate a product into a commercial model that survives an IC.
Not the best use of me
Generic GTM, sales process, hiring plans, or fractional-CTO work where the hard problem isn't energy-market, asset, or data complexity. If that's the job, I'll tell you on the first call and point you elsewhere.
03 // Proof
Selected Work
Scaling a national VPP for maximum value capture
A multi-state residential solar-and-battery portfolio needed to turn connected devices into dependable market revenue. I built the dispatch framework and the scoring and benchmarking system that ranks sites, fleets, and OEM pathways by value and reliability - so capital and dispatch decisions follow the data, not the easiest sites.
Outcome: Identified a vendor-change pathway worth a 60% revenue uplift across the fleet.
Single-operator visibility across hundreds of sites
Fleet performance is notoriously hard to see at scale. I designed an AI-powered asset management platform - telemetry, automated alerting, benchmarking, and performance packs - that lets one operator see, triage, and prioritise across hundreds of sites.
Outcome: Faults surfaced in under 24 hours, predictive maintenance in place, and time spent on asset management cut by 90%.
Settling a performance dispute with data
An installed solar plant was underperforming - but the operator couldn't prove it. I built a data model that mirrored the contract itself, turning suspicion into evidence the counterparty couldn't argue with.
Outcome: The owner was compensated with a system expansion at no cost.
04 // The Operator
Built inside the businesses, not observing from outside.
I've spent eight years building distributed energy companies from zero. First employee at CleanPeak Energy, where I built the forecasting, billing, and fleet monitoring systems behind 50+ MW of behind-the-meter solar. Then co-founder and Head of Technology, Data & VPP at NRN, where I built the platform - telemetry to dispatch to retailer economics - that carried a national rollout and a $67M+ Series A.
I've selected the hardware, architected the VPP telemetry stack, pitched the retailers, and answered the diligence questions myself. The advice comes from having done the work, not from a framework.
Alongside advisory, I'm open to the right founding or senior operating role - where the hard problem is energy-market, asset, or data complexity.
05 // Process
How this works
01
Send the messy version.
A deck, model, data export, or problem statement is enough. I work best on specific technical and commercial bottlenecks.
02
Scoping call.
Within 48 hours I'll tell you whether I can move the needle, and what it takes. If I'm not the right fit, I'll say so.
03
Engagement.
Typically a fixed-scope sprint (diligence, diagnostic, dispute analysis) or a monthly advisory retainer.
06 // Intake
Send me the messy version.
A deck, model, data export, or problem statement is enough to start. I work best when solving specific technical and commercial bottlenecks.