High Accuracy & Low Compute
AI by Design
Generic LLMs were built to do everything reasonably well. Acodis was built to do one thing flawlessly. Purpose-trained AI that delivers the high accuracy a regulated industry demands with a fraction of the compute. You get superior precision, consistency, and cost-efficiency.
More accuracy
The average generic LLM makes 21x more mistakes than Acodis.
Lower cost per page
Based on benchmarking against a verified reference documents
Faster document processing
vs. manual workflows
Why purpose-built AI outperforms generic models
6x cheaper marginal cost of compute per page
Generic large language models cost 6x more per page than Acodis, so at pharmaceutical volumes you save significantly on compute, energy use, and carbon footprint.

21x higher accuracy
80% faster than manual workflows
Acodis IDP processes documents up to 80% faster than manual work, cutting compute time, energy use, and office resources for a smaller operational and environmental footprint.
<2% rework rate that saves time & processing
Manual data entry drives costly rework. Acodis cuts rework rates to under 2% (vs. 8–12% manually), eliminating around 4,000 extra processing cycles a year at 50,000 documents.
How we help you reduce your CO₂ footprint
Documents flow digitally from day one
Acodis captures, checks, and routes data from any document format automatically, so records like batch records, stability reports, and regulatory submissions are handled digitally instead of being printed, filed, and archived on paper.

Purpose-built models cost less to run

How we think about Environmental, Social and Governance
Less waste
Cut paper use, computing needs, rework, and transport emissions with AI-optimized digital document workflows, backed by an ISO 14001-certified environmental management system.
Faster delivery
Audit-ready
What we stand for
Sustainability means different things across different dimensions. Acodis comprehensive ESG approach is certified with ISO 14001 and driven by measurable and continuous improvements.
Our footprint
We measure our own emissions across all relevant scopes. Scope 1 is zero — we have no direct combustion sources. Scope 2 covers CO₂e from our server and office space energy use, accounting for 31% of our total footprint. Scope 3 makes up the remaining 69%, split across CO₂e from our cloud data centre usage and CO₂e from employee commuting and business travel. Knowing where our emissions come from allows us to manage them responsibly.
Certifications & Data Privacy
