strategy & development

Private AI research infrastructure for investment teams.

cat about.txt

Most small investment teams have the same problem. The data is available, the models are available, and nothing is wired together in a way that fits how the team actually works. EthosLabs designs and builds that layer: ingestion of the sources you already pay for, a private corpus you control, a model layer sized to your needs, and output in your own format.

ls build/
ingestion
filings, market data, licensed research, internal notes and email, normalized into one store you own
model layer
local and hosted models, chosen per task; sensitive material stays on hardware you control
synthesis
daily briefs, dashboards and alerts written to your coverage list and your house format
review loop
a human sign-off step before anything is sent; the system assists, it does not decide
cat workflow
Workflow: sources, ingest and normalize, private corpus, model layer, synthesis, delivery. Corpus, model layer and synthesis run on your infrastructure. A human review step returns synthesis output to the model layer before delivery.your infrastructuresourcesfilings · market datalicensed research · notesingest / normalizeparse · dedupe · tagprivate corpusyour store · your keysmodel layerlocal + hostedsynthesisbrief · dashboard · alertsdeliveryemail · web · chatreview: human sign-off Workflow: sources, ingest and normalize, private corpus, model layer, synthesis, delivery. Corpus, model layer and synthesis run on your infrastructure. A human review step returns synthesis output to the model layer before delivery.your infrastructuresourcesfilings · market datalicensed research · notesingest / normalizeparse · dedupe · tagprivate corpusyour store · your keysmodel layerlocal + hostedsynthesisbrief · dashboard · alertsdeliveryemail · web · chatreview: human sign-off
cat engagement.txt
  1. scopea short call to map your sources, coverage list and output format
  2. builda fixed-scope implementation, typically a few weeks, delivered on your infrastructure
  3. maintainan optional monthly retainer for source changes, model updates and new outputs
cat audience.txt

Independent advisers, family offices, and small funds that want their own research stack rather than another subscription.

cat contact.txt
contact@ethoslabs.ai