MARKET RESEARCH

Quarterly Patent Trend Load to Warehouse with Board Slide

Each quarter, normalizes competitor patent filings into BigQuery for trend analysis.

CategoryMarket Research
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule fires
  • ActionRetrieve quarter's filings from ExaExa
  • ActionLoad normalized records into BigQueryGoogle BigQueryBigQuery
  • LogicCompute cross-competitor trends
  • ActionDraft board narrative with OpenAIOpenAI
  • OutputEmail summary to strategy leadGmailGmail

What it does

This workflow builds a durable analytics layer on top of patent activity. Quarterly, it loads normalized filing records for every watched competitor into BigQuery, computes cross-competitor trends, and produces a concise board-level narrative of how the competitive R&D landscape is shifting — delivered by email to the strategy lead.

When to use it

Use it when you want both the raw history for your own SQL analysis and a polished quarterly readout for leadership. The warehouse load lets analysts slice filings by theme and time, while the generated narrative saves the strategy team from hand-writing the board summary each cycle.

How it works

  1. 1A quarterly schedule starts the run.
  2. 2Exa retrieves the quarter's patent filings across the competitor watchlist.
  3. 3Each filing is normalized and written into a BigQuery table for longitudinal analysis.
  4. 4A query computes cross-competitor theme and volume trends for the period.
  5. 5OpenAI drafts a board-ready narrative from the trend results.
  6. 6The summary is emailed to the strategy lead.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect GmailRead, draft, send, label.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.