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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.

21

More accuracy 

The average generic LLM makes 21x more mistakes than Acodis.

6

Lower cost per page

Based on benchmarking against a verified reference documents

80

Faster document processing

vs. manual workflows

Why purpose-built AI outperforms generic models

We tested multiple LLMs on a pharmaceutical batch record PDF to compare their accuracy, completeness, and cost against a purpose-built document AI, and found that generic models most often fail on tables, checkboxes, and signatures.

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.

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21x higher accuracy

A typical batch record contains around 15,000 data points. With a 10.8% error rate, this results in about 1,620 incorrect data points. Acodis reduces these errors to a minimum and clearly flags any remaining issues.
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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

Two fundamental shifts define how Acodis reduces the environmental and operational burden of pharmaceutical document processing: eliminating paper at the source, and replacing oversized AI with models built specifically for the job.

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.

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Purpose-built models cost less to run

Generic LLMs use more compute per page, driving up cost, energy use, and carbon footprint. Acodis uses pharma-specific models to minimize compute, lowering cost per page and environmental impact, especially at scale.

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How we think about Environmental, Social and Governance

Sustainability means different things across different dimensions. Acodis comprehensive ESG approach is certified with ISO 14001 and driven by measurable and continuous improvements.
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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.

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Faster delivery
Employees spend less time on manual admin and rework, and more time on high-value scientific and compliance tasks, with 80% faster, more consistent document processing across teams and partners.
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Audit-ready
Built for highly regulated workflows with consistent, expert-controlled accuracy, a complete digital audit trail, and accuracy verified against trusted reference documents.

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.

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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.

Scope 1 — 0%  No direct combustion sources
Scope 2 — 31%  CO₂e from server and office space energy
Scope 3 — 69%  CO₂e from cloud data centre usage, commuting and business travel

 

Certifications & Data Privacy

2024_03_MA_ISO Certificates