15 posts along 6 content pillars (incl. benchmark). Copy, customize, post. Optimized for Ctrl+P print.
benchmark · #1
14 to 92 percent. We ran our chemistry MCP against an independent benchmark.
Klambauer's lab at JKU Linz published a molecular-reasoning benchmark with 3,540 verifiable chemistry tasks for ICLR 2026. We ran four frontier LLMs through it, each with and without CovaSyn MCP attached. Result: Haiku 4.5 went from 21 to 85 percent, Opus 4.7 from 41 to 92 percent, GPT-5.5 from 22 to 90 percent, Gemini 3.5 Flash from 14 to 76 percent. Symbolic verification against ground truth, no LLM judges.
https://covasyn.com/en/benchmark
benchmark · #2
Haiku 4.5 with CovaSyn beats Opus 4.7 on its own. At roughly one-sixteenth the cost.
On the MolecularIQ benchmark from ICLR 2026: Opus 4.7 without MCP reaches 41 percent at 0.025 USD per question. Haiku 4.5 with CovaSyn MCP attached reaches 85 percent at 0.0078 USD per question. Over twice the accuracy at roughly one third of the cost. A new middle ground for teams that were stuck between cheap-and-wrong and expensive-and-correct.
https://covasyn.com/en/benchmark
benchmark · #3
We also publish the tasks where we are not yet at 100 percent.
In the MolecularIQ benchmark, 73 to 84 percent of answers are correct. The remainder splits between cases where the model discards the correct tool value and format issues. We publish the full breakdown because an honest gap is worth more to pharma validation than a polished marketing claim.
https://covasyn.com/en/benchmark
tool-of-week · #4
Routine workflow of the week: ICH M7 mutagenicity assessment
Mutagenicity assessment for a batch of substances in under two minutes. Two complementary QSAR models, ICH classes 1 to 5, applicability documented. Audit-grade, expert review stays human.
https://covasyn.com/en/mcp
workflow · #5
ICH Q1A/E in an MCP pipeline
Stability data in, Arrhenius fit, shelf-life with 95 percent confidence, OOS and OOT automatically flagged. An Excel replacement that documents rather than hopes.
https://covasyn.com/en/mcp
industry · #6
Plain LLMs in pharma: why hallucination is a compliance killer
EU Annex 11 requires 'electronic records that are accurate, reliable, and capable of verification'. Plain LLM outputs do not meet that bar. An MCP layer with deterministic tools does.
https://covasyn.com/en/comparison/diy-python
bts · #7
Why we host in Leipzig, not on AWS Frankfurt
Data residency, predictable compute costs, no US CLOUD Act exposure. The trade-off: less auto-scaling. For regulated pharma that is acceptable, often even preferred.
https://covasyn.com/en
compliance · #8
GAMP 5 Software Category 4 for MCP servers: what that means
Configured product, not custom-developed software. Validation effort noticeably lower than category 5. The validation pack is part of the Enterprise tier.
https://covasyn.com/en/pricing
tool-of-week · #9
Routine workflow of the week: impurity profiling from MS data
MS data in, impurity list out with RT prediction, formula fit and ICH Q3A/B classification. CDMO use case: 30 minutes instead of two days per source material.
https://covasyn.com/en/mcp
workflow · #10
From SMILES to ADMET prediction in one agent call
SMILES in, LogP, Caco-2, hERG, clearance estimate out. Druglikeness profile in the same hour, no tool switching.
https://covasyn.com/en/mcp
industry · #11
Build vs buy for the chemistry stack: the honest math
A DIY Python stack is free in software, but eats roughly 8,000 to 25,000 euros of engineering time per year. CovaSyn Pro sits at 3,000 euros per year. Crossover at four engineering hours per month.
https://covasyn.com/en/comparison/diy-python
bts · #12
How we guarantee determinism
Every tool call logs tool version, input hash and output hash. Reproducibility after five years becomes a technical property, not a marketing claim.
https://covasyn.com/en/comparison/aichemy
compliance · #13
21 CFR Part 11 for MCP: what sits in the audit trail
User, timestamp, input, output, tool version, model version. Plus tamper-evident hashing. Plus retention policy. Out of the box.
https://covasyn.com/en/pricing
tool-of-week · #14
Routine workflow of the week: folding plus binding-site identification
Sequence in, 3D structure out, binding sites identified. For drug-discovery teams without local GPU compute.
https://covasyn.com/en/mcp
industry · #15
Why CDMOs need an MCP stack
Cut time-to-quote from 5 to 10 days down to 1 to 3 days. At 30 quote requests per month that means 4 to 8 more quotes. One additional contract pays for CovaSyn for years.
https://covasyn.com/en/termin
