Carbon accounting platforms
Scope 1, 2 and 3 inventories with activity-data collection, factor management, organisational boundaries, recalculation history and review workflows. Separate measured data from estimates at every stage.
Custom products and AI solutions for carbon, clean energy and sustainability. Built on traceable data, with people in control of the decisions that matter.
Why energy & climate is different
Meter readings, utility bills, supplier responses and satellite observations rarely arrive in one clean format. Useful climate software starts with reliable ingestion, clear boundaries and visible gaps.
An emissions figure is only useful if someone can trace the activity data, factor, methodology and assumptions behind it. A polished dashboard cannot replace evidence.
Equipment goes offline, readings arrive late and operating constraints change. Products need to work with imperfect data and make uncertainty explicit.
What we build
We build the products your teams and customers actually use, with data quality, methodology and review built into the first release. These are solution examples, not claims about previous deployments.
Scope 1, 2 and 3 inventories with activity-data collection, factor management, organisational boundaries, recalculation history and review workflows. Separate measured data from estimates at every stage.
Portals for solar, wind, batteries and distributed assets. Bring telemetry, asset health, maintenance and performance into one operational view, integrated with your existing monitoring systems.
Collect evidence, request missing information and track supplier responses across your value chain. Give procurement teams a repeatable process rather than another spreadsheet chase.
Evidence-linked reporting, versioned disclosures and approval workflows. Map data to applicable requirements without making automated claims about compliance.
Asset-level exposure views combining location data with licensed hazard datasets. Show scenarios, time horizons and model limitations alongside results so teams can interpret them responsibly.
Track materials, waste streams, reuse and chain of custody. Build operational tools for collection networks, recyclers and businesses managing resource efficiency.
AI solutions
Agents handle the preparation across documents, datasets and recurring workflows. Your specialists validate the assumptions, approve the output and decide what happens next.
Extract activity data from utility bills, transport records and supplier documents. Attach the source, unit and confidence so reviewers can validate the result before it enters the inventory.
Suggest activity categories and relevant factors from your approved library. Flag mismatched units, outdated factors and ambiguous boundaries for a specialist to resolve.
Prepare requests, track missing evidence and summarise responses. External messages and material changes follow the approval rules you set.
Identify unexpected consumption or performance changes, collect relevant telemetry and prepare an investigation. Operators decide whether maintenance or control changes are needed.
Prepare disclosure narratives from approved figures and supporting documents. Citations, assumptions and unresolved gaps travel with the draft for human sign-off.
Compare documented assumptions for energy demand, procurement and reduction plans. AI helps organise and explain scenarios; it does not turn uncertain forecasts into facts.
Clean energy operations
Software connects generation, storage and demand. Engineers and operators define the rules that turn that visibility into safe, useful action.
Combine generation, consumption, storage state and asset availability with tariff and weather inputs. Keep timestamps, quality flags and missing readings visible.
Evaluate schedules against equipment limits, maintenance windows and commercial rules. Simulations and historical testing come before operational use.
Start in read-only or advisory mode. Any live dispatch integration requires explicit permissions, agreed approval gates, safety interlocks and a tested fallback.
Carbon data & evidence
Collection, calculation and review belong in one connected workflow. Missing evidence goes to a reviewer, not into an invented answer.
Keep activity data linked to its source document or sensor, reporting period, location and owner. Every transformation has an identifiable version.
Record factor provenance, geography, effective date and units. Use tested calculation logic for totals rather than asking a language model to calculate emissions.
Distinguish measured, supplier-specific and estimated data. Document proxies, exclusions and uncertainty rather than quietly filling gaps with generated values.
Named reviewers approve material figures. Period locks, change history and restatement workflows make corrections understandable and preserve the original record.
Reporting & verification
Standards shape the data model and review process. We agree the applicable requirements with your domain and legal advisers rather than promise universal compliance.
Where relevant, structure inventories around agreed boundaries, scopes, methods and evidence requirements. Your sustainability specialists validate methodology; software supports the process.
Map workflows to the reporting obligations that actually apply to your organisation. CSRD and ESRS scope, local rules and effective dates are assessed with your advisers, not assumed.
Build monitoring, reporting and verification workflows with provenance, project boundaries and review controls. Registries and independent verifiers determine eligibility and issuance, not the AI.
We scope technical controls and evidence deliverables to your requirements. Software delivery does not itself certify an inventory, verify a carbon credit or guarantee a reporting outcome.
Human in the loop
Routine imports, extraction and routing can run within agreed boundaries. Factor changes, material estimates, external disclosures and asset-control actions require the review appropriate to their risk. Missing inputs, low confidence or conflicting evidence pause the workflow and escalate to a named person.
Security & reliability
Sustainability data is also business data. Security, integration reliability and auditability are part of delivery, not an extra layer added before launch.
Separate data contributors, sustainability analysts, operational approvers and auditors. Limit access by organisation, site and responsibility where needed.
Encrypt data in transit and at rest. Apply agreed retention, secret management and access controls to supplier records, asset telemetry and commercially sensitive plans.
Agents receive only the information and tools needed for their task. Retrieved documents are treated as untrusted inputs, and external actions are permission-checked.
Record data changes, factor updates, calculations, AI outputs and approvals. Agree retention and tamper-evidence requirements with your audit team before implementation.
Validate units and timestamps, detect duplicates and isolate failed imports. Monitor integration health and support replay without silently double-counting records.
Choose a suitable cloud region, private environment or self-hosted deployment when required. Hosting, model access, residency and operational responsibilities are agreed explicitly.
How we work
Identify the users, reporting or operational need, data owners and applicable requirements. Agree success measures, exclusions and the first useful release.
Sample your real sources, check units and quality, and agree calculation methods with domain specialists. Prototype the review workflow before scaling ingestion.
Deliver the product with access controls, evidence lineage and integrations. Test calculations against known examples and AI assistance against representative, reviewed cases.
Roll out with named owners, monitoring, documentation and handover. Expand automation only when accuracy, review effort and operating reliability justify it.
Yes. We can scope data collection, inventory calculations, factor libraries, evidence management and reporting workflows. Your domain specialists approve methodology and reporting boundaries, and the release is tested against agreed examples.
AI can extract and classify activity data or draft explanations. Emissions totals should come from tested calculation logic using approved factors, units and methods. Reviewers can trace the result back to its inputs.
We work with available APIs, file exports and telemetry interfaces. Discovery identifies access, licensing, data quality and update-frequency constraints before an integration is committed.
We typically start with visibility and recommendations. Live control is separately scoped with your operators and equipment providers, including safety requirements, approval gates, fallback behaviour and validation.
No. Reporting obligations, verification and credit issuance depend on the applicable rules, methodology, evidence and independent assessment. We build the workflows and technical evidence that support those processes.
Yes, where the selected architecture and model support it. We agree the hosting boundary, residency, access, maintenance and infrastructure responsibilities as part of the engagement.
We agree practical measures before building: evidence completeness, reviewer corrections, time to close an inventory, integration freshness or time to investigate an asset issue. Environmental impact claims require a defined baseline and defensible measurement.
Code ownership, data access, third-party licensing and infrastructure responsibilities are explicitly agreed in the engagement. Handover includes documentation, deployment guidance and the agreed technical evidence.
Let's talk
Tell us about your users, data and the outcome you need to demonstrate. We will help scope a first release with useful workflows, clear evidence and an honest measure of success.