Turn fragmented research into investment decisions that stand up to review

Hast reads filings, earnings materials, calls, models, and internal research, then organizes the evidence, contradictions, and open questions around the variables that truly drive a thesis. Analysts update views faster while the team retains every investment, position, and publishing decision.

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Covered company · post-earnings view update

Awaiting analyst review

Investment-thesis check

Core demand
Revenue growth assumption
Hold
Margins
Pace of gross-margin recovery
Reprice
Capital efficiency
Return on new capex
Test
Product cycle
Timing of new-product ramp
Open

Scenario change

The base case is unchanged. New capex and product timing alter both the upside path and downside risk.

UpsideMargins recover faster than expected

BaseRevenue holds; wait for evidence on capital efficiency

DownsideProduct ramp slips and the payback period extends

Give research teams more time for judgment, debate, and conviction

Move from finding information to testing the view

Compare new disclosures, definitions, management language, and existing assumptions so analysts can focus on differences that change the decision.

Update before a change reaches the portfolio

Track filings, results, and catalysts, then surface only changes that alter a core assumption, risk, or valuation framework.

Trace every conclusion back to its source

Preserve dates, definitions, source locations, and calculation assumptions for review and challenge. The team still owns the view and the position.

Understand every form of financial evidence and carry change into the investment view

Hast can interpret text, tables, images, and speech, bringing filings, financial charts, earnings calls, investor videos, and internal models into one research chain. It goes beyond retrieval to cross-check sources, build scenarios, and monitor signals that can change the thesis.

Interpret text, charts, speech, and video

Turn different media into searchable, cited facts that can be checked against one another.

Filings and financial reports
Read narrative, footnotes, tables, charts, and accounting definitions.
Earnings calls and expert interviews
Transcribe speech, separate speakers, and extract Q&A and language shifts.
Investor days and public video
Read visuals, captions, and slides together to locate material statements.
Internal models and workpapers
Reconcile formulas, key assumptions, history, and team definitions.

Complete analyst-grade deep research

Move from one search to cross-checking, comparison, scenario work, and counterarguments.

Company and industry deep dives
Build a research record across disclosures, expert views, and internal material.
Pre-earnings and post-earnings work
Compare expectations with results and isolate changes to guidance and drivers.
Comparable-company and valuation analysis
Normalize definitions and compare drivers, valuation, and sources of difference.
Scenarios and counterarguments
Build upside, base, and downside cases and actively search for thesis breakers.

Maintain coverage and support portfolio decisions

Keep research current and bring only signals that can change the view to the team.

Coverage-list and event monitoring
Track disclosures, news, operating signals, and material catalysts.
Signal-to-assumption mapping
Identify which assumption, risk, or valuation framework new information affects.
Portfolio updates and meeting preparation
Prepare morning, investment-committee, and review material by position priority.
Cited memos and review records
Preserve sources, calculations, counterevidence, and human decisions.

Start with one frequent, reviewable research workflow

The best pilot does not try to predict the market. It takes a real task with repeated source work, clear standards, and an output an analyst can verify.

Earnings-season updates

Extract key metrics, guidance, and definition changes, then map each one to the model, core assumptions, and existing thesis.

Continuous coverage and event monitoring

Track disclosures and operating signals, filter changes that do not affect the view, and flag assumptions that need to be revisited.

Company comparisons and investment memos

Compare key drivers, valuation, and downside on consistent definitions while preserving counterevidence and open questions.

Put one real research task in front of Hast

Choose one covered company and one recurring workflow. Together, we will connect the sources, research framework, and permission boundaries, then decide whether it deserves to scale based on complete, reviewable updates.

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