Services
Embedding of AI into core operations to calculate highly accurate carbon footprints, monitor supplier risk, and prevent greenwashing across entire supply chains under accelerating global regulatory pressure. Sub-services include AI-powered Scope 3 emissions tracking, generative AI for corporate sustainability reporting, ESG data integrity and audit AI, and algorithmic bias monitoring for social governance.
Development of custom large language models (LLMs) and RAG systems that automate the drafting, data integration, and narrative generation of GRI, SASB, and TCFD-aligned sustainability reports, reducing manual effort by 80%.
Engineering of end-to-end AI systems for automated Scope 1, 2, and 3 emissions calculation, using machine learning to ingest utility bills, procurement data, and spend analytics for real-time carbon footprint tracking.
Deployment of AI agents and NLP models to continuously monitor supplier news, regulatory filings, and satellite imagery for real-time alerts on environmental violations, labor issues, and geopolitical risks across multi-tier supply chains.
Building of natural language processing (NLP) and computer vision models to analyze corporate communications, marketing materials, and product claims against actual ESG performance data to flag discrepancies and mitigate reputational risk.
Implementation of AI-driven data validation, anomaly detection, and audit trail systems to ensure the accuracy, consistency, and provenance of ESG data flows from source systems to final disclosures for auditor assurance.
Development of AI workflows that automatically map internal data to evolving frameworks like CSRD, SFDR, and SEC climate rules, generating compliance checklists and gap analyses to reduce manual legal review.
Engineering of pipelines that fuse structured financial data with unstructured sources—PDF reports, satellite imagery, IoT sensor streams—into a unified analytics-ready data lakehouse for holistic ESG insight.
Development of machine learning models that forecast future emissions based on business growth plans, operational changes, and decarbonization initiatives, enabling scenario analysis and science-based target setting.
Creation of algorithmic scoring systems that evaluate and rank suppliers based on AI-analyzed ESG performance data, audit reports, and alternative data sources to inform sustainable procurement decisions.
Specialized service to fine-tune foundation models (e.g., GPT-4, Llama 3) on proprietary sustainability taxonomies, regulatory texts, and internal ESG data to create domain-specific assistants for analysts and reporters.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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