Feedly AI
A news reading tool for teams tracking many sources, with a built-in AI called Leo that follows companies and trends.
A market research tool that searches company filings, broker research, and expert call transcripts fast, used by investment and strategy teams.
AlphaSense is a market intelligence and research tool used by investment banks, hedge funds, private equity firms, and consulting teams. Staff search across more than 500 million documents, including company filings, broker research, news, and expert call transcripts, and the tool can draft a PowerPoint deck or an Excel model from a search. AlphaSense also owns Tegus, a separate brand with its own library of expert interview transcripts. Users log in through single sign-on set up by an admin. AlphaSense sells only annual contracts and does not publish prices; public data puts most seats between 10,000 and 40,000 dollars a year.
This fits a team that already pays for scattered research subscriptions, such as corporate strategy, competitive intelligence, and deal teams. A good starting point is a pilot with one research or strategy group. Budget at least 10,000 dollars per seat per year as a planning figure and confirm the real quote with AlphaSense sales, since it varies by content package; because AlphaSense recently added Tegus to its lineup, ask which content library your quote includes. AlphaSense offers a free-trial request through its website; confirm eligibility and included content with its team. Two risks: trusting AI summaries of dense filings without checking the source, and cost creep, since expert calls and content add-ons bill on top of the base seat price.
The industries and leadership roles this tool is most often matched with.
How one company factor at a time moves the modeled score. The published score is unchanged.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $23K | $37.4K | $62K |
| Three-year total | $42.4K | $66.4K | $106.8K |
| First-year cost per unit | $1.2K | $1.9K | $3.1K |
| Average annual cost per unit (over three years) | $707 | $1.1K | $1.8K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $1.5K | $2K | $2.7K |
| Implementation | $6K | $10K | $17K |
| Integration | $4.4K | $8K | $14.4K |
| Staff time and change management | $3.9K | $5.5K | $7.7K |
| Security | $2.8K | $4K | $6K |
| Administration | $2.3K | $3K | $4.1K |
| Support | $1.1K | $1.5K | $2K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 20 enabled users. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of AlphaSense and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Keep original internal documents in their source repositories rather than treating AlphaSense as the sole system of record. Preserve saved searches, watchlists, prompts, workflow instructions, notes, reports, extracted tables, and generated deliverables where contractually permitted. Premium research, expert transcripts, the proprietary search index, learned retrieval context, and some agent history may not transfer cleanly, so negotiate export access, content rights, deletion obligations, renewal notice, and a transition period before purchase.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
A news reading tool for teams tracking many sources, with a built-in AI called Leo that follows companies and trends.
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Research observations recorded: 1. Evidence quality: Good support.
Recorded score and category rank across research updates.
Answer a few questions about your company and compare this tool with others. The research score above stays the same.
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