Spark
A platform built to streamline sustainability reporting, ESG data management, and environmental analysis through AI-supported workflows.
DEISO AI equips your projects with the analytical layer behind a working Sustainability Operating System — intelligent analysis, automated reporting, and clear communication of results across industries.
Every platform is built around the same standard: the numbers stay traceable, the methodology stays defensible, and the output is ready for technical review.
DEISO AI is the analytical system built by DEISO LLC to support environmental sustainability, climate responsibility, and data-led sustainable development. It is built for high-impact sustainability domains, including:
At its core, DEISO AI combines scientific modeling, technical precision, and automation so teams can quantify, cross-check, report, and improve sustainability outcomes.
Beyond the global AI models it integrates, DEISO AI runs on DEISO’s own proprietary algorithms and scoring systems, built for:
All scoring and AI logic are developed in alignment with internationally recognized ISO standards, including:
This keeps DEISO AI review-ready, aligned with the standards clients are assessed against, and applicable across markets.
DEISO AI operates as a composite AI platform, combining multiple frontier language models with DEISO-trained sustainability models. The current model layer includes:
Model selection is task-based rather than fixed: reasoning-heavy standards work, long-context inventory review, and high-volume data processing each route to the model best suited to the job. The roster is reviewed as new releases land.
Every model sits inside DEISO’s custom-trained logic layer, keeping results scientifically grounded, standards-based, and contextualized for real-world sustainability work.
DEISO AI supports a growing set of specialized platforms and assistants, including:
Together these components form an integrated AI sustainability suite, equipping decision-makers, scientists, and ESG teams.
DEISO AI reaches clients in two ways — as a platform they use directly, or as an engine running inside DEISO project work.
| Feature | Type P — product-based | Type S — service-integrated |
|---|---|---|
| Availability | Subscription-based access by clients | Embedded within DEISO project work |
| Access model | Clients use the platform directly | Clients receive outputs produced using AI |
| Customization | Pre-defined according to subscription plan | Fully customized to project and client needs |
| Pricing model | Monthly or annual subscription plans | Cost covered within project pricing |
| Examples | Spark, Visly, Kiku AI, Hikari AI | Satori AI Engine, custom project AI engines |
DEISO Satori AI Engine for Intelligent Storytelling
Each platform covers a specific part of sustainability execution — reporting, visualization, inventory work, impact assessment, and training support.
A platform built to streamline sustainability reporting, ESG data management, and environmental analysis through AI-supported workflows.
An AI-supported platform that turns complex sustainability and technical data into interactive visualizations, supporting R&D projects, reporting, and decision-making.
An internal, project-focused AI engine used inside DEISO client projects. It produces data-led insights, clear narrative reporting, and stronger technical documentation across LCA, ESG, GHG, PCF, and EPD studies.
An AI-supported chat interface giving users instant, interactive access to DEISO’s sustainability and technical knowledge across multiple topics.
An AI assistant supporting remote, offsite, and onsite sustainability training programs with real-time Q&A, strengthening learning engagement.
A personalized AI chatbot built for trainees during offsite training programs in Japan, offering educational guidance and resource recommendations.
An AI-supported assistant helping users navigate sustainability solutions, project resources, and tailored technical recommendations across DEISO platforms.
An AI-supported educational and practical platform for learning, practicing, and applying Life Cycle Assessment (LCA) methodologies with guided assistance.
An AI platform that speeds up Life Cycle Inventory (LCI) process identification for LCA, PCF, EPD, and GHG projects, matching descriptions against database entries drawn from over 130,000 processes across 28+ databases.
An AI-supported tool that lets teams retrieve Characterization Factors (CFs) for Life Cycle Impact Assessment (LCIA) precisely and in a structured way, supporting impact category analysis in environmental modeling.
Mirai is the clearest working example of what DEISO AI produces. A user describes a sustainability challenge in their own words; Mirai classifies the input, detects which stage of the work they are actually at, identifies the execution gap, and routes them to the specific DEISO service that closes it.
It is not a chatbot and not a service directory. It is a standards-aligned decision engine that converts sustainability objectives into execution pathways across LCA, EPD, GHG, Scope 3, ESG, and digital systems.
Every Mirai response follows the same four-phase execution logic. Not inform, suggest, repeat.
Classifies the input, detects execution stage, identifies the service gap, and sets the response mode before any output is generated.
Selects one dominant recommendation based on impact and entry friction. Equal options are never presented side by side.
Produces a structured response anchored to the user’s own language, with service-mapped paths and integration timeline.
Closes with a single scoped next step that enters the requirement directly into the DEISO execution pipeline.
Mirai does not calculate emissions, run LCA models, or process raw data. It evaluates context, identifies the right execution approach, and directs the request to the DEISO technical service that carries out the work. Questions outside sustainability are redirected rather than answered.
An engine that routes you to a service you do not need is not intelligent. Mirai is built to earn trust through the accuracy of its diagnosis, not the volume of its recommendations.
Type P platforms are used directly by clients under subscription. Type S engines run inside DEISO project work, with the output reaching the client as part of the study.
| Platform / service | Type | Description | Example use case | Applicable industries |
|---|---|---|---|---|
| Visly | Type P | Interactive data visualization platform for sustainability and R&D projects. | Visualizing ESG metrics for corporate sustainability reports. | Finance, retail, energy, education |
| Spark | Type P | Streamlined platform for ESG reporting and environmental data analysis. | Preparing ESG disclosure reports for investors. | Finance, real estate, manufacturing |
| Satori AI Engine | Type S | Narrative AI engine that produces clear, well-structured project outputs across LCA, ESG, and GHG studies. | Producing an LCA report with AI-supported narrative visualization. | Construction, chemicals, energy, automotive |
| EcoIN Data AI | Type P | AI-supported platform that speeds up LCI process search and matching for LCA and EPD studies. | Matching EPD product processes faster during study preparation. | Building materials, electronics, packaging |
| Kiku AI | Type P | AI trainer for sustainability education, remote learning, and stronger training programs. | Supporting ESG training participants with interactive Q&A. | Education, consultancy, public sector |
| Hikari AI | Type P | Personalized AI assistant for offsite training support in sustainability and technical fields. | Strengthening the trainee experience in offsite ESG workshops. | Training institutes, corporate ESG training |
| Chat Board | Type P | Interactive AI-supported sustainability consulting and project guidance platform. | Assisting companies with real-time GHG and carbon footprint queries. | Energy, transportation, infrastructure |
| Mirai | Type P | AI navigator supplying sustainability resources, tailored recommendations, and project insights. | Helping companies find relevant sustainability datasets and tools. | Energy, materials, electronics, government |
| CFs AI Finder | Type P | AI platform for retrieval and mapping of characterization factors (CFs) for environmental impact categories. | Supporting LCA projects with automated CF lookup tables. | Agriculture, construction, automotive, public policy |
| DEISO LCA Studio | Type P | AI-supported platform for hands-on learning and real-time application of Life Cycle Assessment methodologies. | Training and upskilling sustainability analysts on LCA standards. | Education, consulting, energy, electronics |
Tell us your scope, timeline, and target outcome — DEISO will point you to the right service or scope the work directly.