Practical guides
Andrés Cester
CEO & Co-Founder

The best software tools for ESG management and for automating sustainability reporting in 2026 are Manglai, Workiva, Sphera Corporate Sustainability, Position Green, Datamaran, EcoVadis, IBM Envizi and Wolters Kluwer Enablon. Manglai leads the comparison for teams that need a traceable chain of evidence, from primary data through to the final report.
Every tool is compared on the same criteria: who it serves, which part of the ESG framework it genuinely covers, how it is deployed, whether it offers Spanish and local support, and what pricing it publishes as of August 2026.
| Tool | Best for | ESG coverage | Deployment, language and support | Pricing |
|---|---|---|---|---|
| Manglai | Sustainability teams in SMEs and multi-site groups that need traceable reporting without a consultancy | Full environmental block: Scopes 1, 2 and 3 carbon, water footprint aligned with ISO 14046, waste with traceability by manager and treatment route, ESG matrices and ESRS E1, E2 and E5 export | SaaS with AI-assisted data capture. Platform and support in Spanish and English | Starter, Pro and Enterprise plans, no published rates |
| Workiva | Multinationals integrating finance, risk and sustainability in one environment | Connected financial and sustainability reporting, with version control, collaboration and audit traceability | SaaS. English interface with multilingual support | No public pricing |
| Sphera Corporate Sustainability | Industrial organisations with a strong environmental and safety component | Environmental accounting, risk, safety and compliance, with very broad impact libraries | SaaS. English interface | No public pricing |
| Position Green | European companies that want ESG reporting and carbon accounting in a single tool | ESRS, the voluntary standard, EU Taxonomy, SFDR, GRI, human rights due diligence and Scopes 1 to 3 carbon | Nordic SaaS. English and German interface | No public pricing |
| Datamaran | Teams that prioritise double materiality and regulatory monitoring | Automated materiality using text analytics, continuous regulatory monitoring and peer benchmarking | SaaS. English interface | No public pricing |
| EcoVadis | Companies with broad supply chains and heavy third-party dependence | Supplier assessments and ratings, plus a carbon module to drive upstream reduction | Assessment platform. Multilingual | No public pricing |
| IBM Envizi | Companies looking to connect ESG with operational systems, energy and IoT | ESG data, Scopes 1, 2 and 3 emissions, energy and utility analytics, decarbonisation planning | SaaS. Integration with the IBM and Microsoft ecosystems. English interface | No published rates, pricing depends on the volume of data managed |
| Wolters Kluwer Enablon | Organisations focused on compliance, health and safety | EHS and ESG suite with operational risk management and regulatory compliance | SaaS. English interface with a partner network | No public pricing |
Features and prices checked on each vendor's official website in August 2026. None of these platforms publishes fixed rates, so comparing cost means requesting quotes with identical scope from all of them.
The phrase "automating ESG reporting" is used for very different things. It helps to separate what a platform solves on its own from what remains human work:
Genuinely automated:
Not automated:
The real return of an ESG platform is not "generating the report in one click". It is having the data in order all year, with linked evidence, instead of rebuilding it against the clock at closing.
The framework changed substantially in 2026 and many companies are still working from 2024 assumptions:
The operational conclusion is that many SMEs leave the mandatory scope but not the demand. Reporting stops coming from the law and starts coming from the customer and the bank, which does not reduce the need to keep the data in order.
If your specific priority is CSRD fit, we have a dedicated comparison of sustainability management software for CSRD.
Best for: sustainability teams in SMEs and multi-site groups that need to report with full traceability and without relying on external consultancies.
Strengths: a complete chain of evidence, from primary data through to report generation, with an auditable workflow end to end.


The proposition is backed by real traction: Manglai has active clients in 70 countries, more than 30,000 users and 25 million tonnes of CO2e managed, with an average rating of 4.7 out of 5.
Honest limitation: the depth sits in the environmental block. If your immediate priority is highly detailed social and governance indicators, validate the roadmap for those modules before deciding.
Pricing: Starter, Pro and Enterprise plans, no fixed rates published.
Best for: multinationals that need the sustainability report and the financial report to come out of the same system.
Strengths: robust version control, real-time collaboration, figure linking across documents and an integration with internal audit that few platforms match.
Honest limitation: high cost and excessive complexity for small teams. It is a reporting tool, not an operational manager of plant-level environmental data.
Pricing: no public pricing.
Best for: industrial organisations that need advanced environmental methodologies alongside risk and safety management.
Strengths: technical rigour, very broad impact libraries and specialised modules for risk, safety and compliance.
Honest limitation: steep learning curve and a more technical than operational focus.
Pricing: no public pricing.
Best for: European companies that want ESG reporting and carbon accounting in a single tool.
Strengths: broad coverage of European frameworks, including ESRS, the voluntary standard, the EU Taxonomy, SFDR, GRI and human rights due diligence, with carbon management across all three scopes and a supplier module.
Honest limitation: strong on reporting and lighter on operational plant-level environmental data, such as waste traceability by manager.
Pricing: no public pricing.
Best for: teams that prioritise double materiality and continuous regulatory monitoring.
Strengths: materiality analysis supported by text analytics over large volumes of information, tracking of regulation and stakeholder expectations, and peer benchmarking.
Honest limitation: it is not a comprehensive metrics platform. It works as a complement, not as a single reporting system.
Pricing: no public pricing.
Best for: companies with broad supply chains that need to assess third parties on consistent criteria.
Strengths: standardised assessments, comparability across suppliers and a carbon module to drive upstream reduction.
Honest limitation: it is built for rating third parties, not for internal corporate reporting. It does not replace a platform for managing your own data.
Pricing: no public pricing.
Best for: companies that want to integrate ESG with operational systems, energy and IoT.
Strengths: solid emissions and energy analytics, decarbonisation planning with target tracking, and integration with the IBM and Microsoft ecosystems.
Honest limitation: less specialised in waste and social indicators than in energy and emissions.
Pricing: no published rates. Pricing is based on the volume of data managed and is scoped during the sales process.
Best for: organisations with a strong compliance, health and safety focus that want to add the ESG block to what they already run.
Strengths: very mature operational risk management and a comprehensive EHS suite.
Honest limitation: complex implementation and a typical dependency on consulting to get full value.
Pricing: no public pricing.
If your organisation wants to move from spreadsheets to a traceable ESG system, see how Manglai handles it in its software for ESG managers and its CSRD reporting solution.
Only if you exceed the thresholds in Directive (EU) 2026/470: more than 1,000 employees and over 450 million euros in turnover. The first reports under the new scope cover financial years starting on or after 1 January 2027.
The voluntary standard adopted on 3 July 2026 is the reference. It is designed so an SME can answer customers, banks and funds without taking on the full ESRS burden.
It depends on the starting point and how much data already sits in digital systems. The reliable saving is not in generating the document, it is in not rebuilding the data at every close. Before signing, ask the vendor to prove it on your own data in a two or three month pilot.
It substantially reduces dependence on the calculation, consolidation and report generation side. It does not replace expert judgement on materiality, strategy or the relationship with the assurance provider.
Yes, but every boundary between systems is a potential discrepancy. If you keep several, define from the start which one is the single source of truth for each indicator.
The evidence behind each figure and the change log: who modified which datapoint, when and why. It is the first thing reviewed and the last thing that tends to be ready.
Andrés Cester
CEO & Co-Founder
About the author
Andrés Cester is the CEO of Manglai, a company he co-founded in 2023. Before embarking on this project, he was co-founder and co-CEO of Colvin, where he gained experience in leadership roles by combining his entrepreneurial vision with the management of multidisciplinary teams. He leads Manglai’s strategic direction by developing artificial intelligence-based solutions to help companies optimize their processes and reduce their environmental impact.
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