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Agentic 10-K

Seres Therapeutics, Inc.MCRB

AI agent disclosures in SEC filings

As of 2026-07-08, Seres Therapeutics, Inc. (MCRB) disclosed AI-agent language in 2 SEC filings since 2026-03-12 (source: Agentic 10-K, from SEC EDGAR).

Market cap
$25MYahoo Finance, 2026-10-21
First seen
2026-03-12
Latest filing
2026-07-08

Matching filings by quarter

012Q1 '25Q2Q3Q41Q1 '26Q21Q3Q4*
Filings* Quarter in progress

What the filings cover

Functions named

Healthcare & clinical

Vendors and products named

None named

Source

2 filings since 2025-01-01. All EDGAR filings (opens in a new tab)

Stage and function are keyword-rule labels, not the company’s words.

In its own words

Sentences copied from the filings, whitespace normalised.

“MbTx platform: a discovery and product optimization engine, designed to mine and harness microbe-host functional interactions to address disease Strain Library Seres' curated collection of bacteria that represent broad biological breadth paired with high-resolution screening data – 40,000+ strains, 1000s of drug-ready & deeply characterizes strains Multi’omic & Experimental Functional Screening Seres' functional…”

8-KFiled 2026-07-08Source on sec.gov (opens in a new tab)Filing index (opens in a new tab)

All matching filings

8-K filed 2026-07-08 Filing index (opens in a new tab)

8-K, EX-99.2Filed 2026-07-08

Seres' MbTx platform uses agentic AI with knowledge graph for data mining and prediction in microbiome discovery.

“MbTx platform: a discovery and product optimization engine, designed to mine and harness microbe-host functional interactions to address disease Strain Library Seres' curated collection of bacteria that represent broad biological breadth paired with high-resolution screening data – 40,000+ strains, 1000s of drug-ready & deeply characterizes strains Multi’omic & Experimental Functional Screening Seres' functional data on bacterial strains and consortia from genomic, in vitro cell-based assays & in vivo models Clinical Data Powered Discovery High-resolution mapping of microbes, genes & metabolites/peptides with clinical outcomes and drug pharmacology – 1000s of patients across clinical trials Curated Public Literature Indexed repository of microbiome literature and patient datasets MbTx AI Knowledge- base AI Enabled Data Mining & Prediction Agentic AI with knowledge graph of integrated data sets that link microbial strains, genes and metabolites to host pathways and disease with ML analytics INPUTS Clinically actionable OUTPUTS Novel Targets & Leads Therapeutically active strains and microbe-produced compounds to modulate previously inaccessible host targets Optimized Live Biotherapeutics (LBPs) Candidates LBPs optimized for potency, used as mono- or combination-therapy, grounded in a pharmacological framework Precision Medicine Microbe-based biomarkers for patient selection & prediction of response to LBPs & biologics Small-Molecule Metabolism (future research opportunity) Pot”

8-K filed 2026-03-12 Filing index (opens in a new tab)

8-K, EX-99.2Filed 2026-03-12

Seres Therapeutics uses an MbTx AI knowledge-base with agentic AI and ML analytics for drug discovery.

“MbTx platform: a discovery and product optimization engine, designed to mine and harness microbe-host functional interactions to address disease Strain Library Seres' curated collection of bacteria that represent broad biological breadth paired with high-resolution screening data – 40,000+ strains, 1000s of drug-ready & deeply characterizes strains Multi’omic & Experimental Functional Screening Seres' functional data on bacterial strains and consortia from genomic, in vitro cell-based assays & in vivo models Clinical Data Powered Discovery High-resolution mapping of microbes, genes & metabolites/peptides with clinical outcomes and drug pharmacology – 1000s of patients across clinical trials Curated Public Literature Indexed repository of microbiome literature and patient datasets MbTx AI Knowledge- base AI Enabled Data Mining & Prediction Agentic AI with knowledge graph of integrated data sets that link microbial strains, genes and metabolites to host pathways and disease with ML analytics INPUTS Clinically actionable OUTPUTS Novel Targets & Leads Therapeutically active strains and microbe-produced compounds to modulate previously inaccessible host targets Optimized Live Biotherapeutics (LBPs) Candidates LBPs optimized for potency, used as mono- or combination-therapy, grounded in a pharmacological framework Precision Medicine Microbe-based biomarkers for patient selection & prediction of response to LBPs & biologics Small-Molecule Metabolism (future research opportunity) Pot”