Quantify sustainability for any asset – beyond disclosures
Trusted by leading AMs, AOs, and PEs
Launch webinar
The first large language model built for sustainability reasoning
Investors are getting harder sustainability questions now:
- What's the real risk, not just what they report?
- Can you defend the methodology to your LPs?
- How does it affect valuation, and the next buyer's exposure?
Most teams still rely on self-reported data and manual due diligence that takes days per deal.
Now there's a model built for that.
Join Upright live on 16 June for the launch of the world's first LLM vertically trained for sustainability work.
Built on a scientific foundation developed since 2017, it's trained to size impact coherently, aligned with science – not internet consensus. It connects to Claude, Copilot, and Gemini, delivering science-based analysis you can interrogate, verify, and defend.
Register to the webinar by filling out the form
The industry is moving from what companies report to what AI can quantify.
Here’s how Upright leads the change.
The sustainable finance industry has spent a decade gathering what companies choose to report. That era is ending.
Since 2017, Upright is built on what science knows about companies’ sustainability instead – mapping 150,000+ real products and services against 300M+ scientific articles, across public and private markets, without asking companies for anything. Benchmarked on 70,000+ companies and 35,000+ funds.
That sustainability quantification engine is now agentic. That means you can run ESG due diligence from a private company URL in minutes, combine Upright’s datasets with your own memos and models to fill gaps, and connect directly to your investment systems via MCP. To name a few things.
The question is no longer whether you can get the data. It's what you do with it.
Capabilities
How investors use Upright for total portfolio view on sustainability100% coverage across public and private markets.
Quantify diverse impact across any portfolio
LPs and investment committees need quantified data, not qualitative narratives.
Upright delivers company-level positive and negative impacts, aggregatable to fund level, across categories from biodiversity to health to societal impact. Comparable, transparent, and built on scientific evidence – not what companies report.
Credible LP and regulatory reporting
Report fund impact to LPs and classify sustainable funds under SFDR.
Upright produces traceable data on PAIs, EU taxonomy alignment, SDG revenue alignment, and net impact across any fund.
Real-time ESG due diligence
Impact data is often missing when it matters most: during due diligence.
Upright's self-serve solution surfaces material ESG risks and opportunities for any company (or manager) in minutes – without requesting a single data point from the target.
Regulatory proxies on product-level
Don’t leave blanks when you can get a total portfolio view.
Upright provides outside-in SFDR PAI and EU taxonomy metrics using company-specific product-level modelling based on scientific evidence with 100% portfolio coverage – not blunt industry averages.
CSRD double materiality without the workshops
Assessing double materiality across a portfolio shouldn't take months of surveys and stakeholder interviews.
Upright assesses impact and financial materiality for all 82 CSRD/ESRS topics at the level of individual holdings. 100% audit pass rate across 150+ external audits.
METHODOLOGY
How Upright quantifies impactbased on scientific evidence
Map detailed business activities
We map companies based on 150,000+ real products and services – giving a full view of impact outcomes across the value chain that ESG disclosures miss.
Link to scientific research
Each product is linked to its external impacts based on 300M+ scientific papers and impact-specific databases, covering both positive and negative across topics.
Output across impact topics
Company and fund impacts are quantified across various impact frameworks from real-world and monetary impacts to sustainable revenues.
Why Upright
On-demand webinar
How to run ESG due diligence in minutes: AI-driven materiality scans on any company (without their data)
The ESG questions all private investment teams are asking in 2026: Are there ESG risks that should kill this deal – or adjust our bid? What are the sustainability value drivers we should be considering?
But getting answers takes weeks of manual analysis, with unclear financial relevance. By the time sustainability insights arrive, the deal has moved on – or decisions are locked in.
What if you could surface those answers for any company, in minutes?
Download the webinar and you'll see:
- How to surface material ESG risks and opportunities in minutes, not weeks
- How outside-in analysis works when you don't have access to company data
- How leading GPs are bridging the gap between ESG and deal teams with a common language for red flags and value creation
Download the webinar by filling out the form below:
Speakers
Who we serve
Institutional investors need outside-in data. We built ours on 300M+ scientific articles
Asset managers
For PMs and ESG teams running listed equity, multi-asset, and fund-of-funds mandates.
Asset owners
For pension funds, sovereign wealth funds, and insurers reporting to beneficiaries and regulators.
Private equity
For deal teams and ESG leads doing due diligence and portfolio monitoring across the holding period.
Private credit
For CLO managers and direct lenders meeting LP and SFDR demands across illiquid credit.
