Industries · GreenTech
Build climate software at the velocity the timeline demands.
Energy data pipelines, carbon-aware platforms, IoT-scale ingest, and grid-edge integrations — backed by FinOps that respects the unit economics of GreenTech.
Pain points we hear most often
Energy data at IoT scale, with thin margins
Time-series data from meters, sensors, and grid edge can be enormous. We design ingest and storage tiers that hold per-record costs in check while preserving query latency.
Hardware-software integration risk
Field deployments fail differently than SaaS. We bring the operational discipline (over-the-air updates, fleet observability, rollback plans) that hardware-adjacent teams often lack at scale.
Reporting and audit pressure
ESG, CSRD, SBTi reporting create a parallel data-pipeline burden. We help design data models and pipelines that satisfy both operational and regulatory consumers.
Who we work with in GreenTech
Energy retailer / utility platform
Customer billing, smart-meter ingest, grid-balancing analytics, and tariff engines.
Climate-tech SaaS
Carbon accounting, supply-chain emissions, or sustainability reporting platforms scaling from pilot to enterprise.
EV charging / energy storage
Site management, OCPP integrations, fleet observability, and demand-response automation.
Earth-observation / climate-data platform
Geospatial pipelines, satellite-data processing, and high-throughput batch infrastructure with cost discipline.
Services we apply here
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DevOps Consulting
Accelerate delivery with proven DevOps practice.
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Cloud Migration
Move to the cloud without rewriting your business.
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SRE Consulting
Build the reliability practice — SLOs, runbooks, on-call discipline. Your team owns it when we leave.
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Infrastructure Audit
Two-week broad assessment — cost, reliability, delivery, ops. CFO-ready.
Frequently asked questions
How do you design carbon-aware compute? +
Region selection by grid carbon intensity, batch scheduling around renewable availability, and Spot/preemptible-first design. Real impact requires honest measurement — we instrument the result.
Can you ingest smart-meter or telemetry data at scale? +
Yes — we have shipped MQTT/Kafka-based ingest, time-series storage (TimescaleDB, InfluxDB, ClickHouse), and downsampling pipelines that hold cost-per-million-points in check.
How do you handle OTA updates for field hardware? +
Update orchestration (AWS IoT, Azure IoT Hub, or open-source equivalents), staged rollouts, and rollback plans designed around the hardware's recovery model. Always tested with a fleet sample.
What about CSRD / SBTi data pipelines? +
Same data infrastructure, different consumers. We design the data model so operational analytics and regulatory reporting share a source of truth.
Can you support OCPP-based EV-charging platforms? +
Yes — connection management at scale, message reliability, and the operational discipline of tracking site-level uptime as a customer-facing SLO.
How do you control cloud spend on data-heavy GreenTech workloads? +
Aggressive use of Spot for batch, archival to cold storage with restore-on-demand, and partition pruning in the query engine. Typical cost savings 50–70% on big data workloads.
How do you integrate with utility back-end systems? +
API gateway with mTLS, message-broker integrations, and detailed audit trails per partner. Each integration is treated as a discrete capability with its own SLO.
What's your stance on data sovereignty in EU energy markets? +
Region-per-market by default, with explicit data-residency controls in the landing zone. We document the compliance posture so regulators and customers can both verify it.
Can you help with grid-edge / on-prem infrastructure? +
Yes — hybrid architectures with cloud control plane and on-prem data plane are common in this segment. We bring the patterns that make them operable.
Do you have GreenTech references? +
Yes — typically two on the discovery call, scoped to your sub-segment.
Can you help us build a data product (e.g. emissions API)? +
We handle the platform underneath — ingest, storage, scaling, observability. The product layer is your team. Pairing is common.
What's a typical first project look like? +
A two-week infrastructure audit focused on cost, observability, and data-pipeline health. Most GreenTech engagements start there.