AlphaSense and Tegus served different research needs before AlphaSense acquired Tegus for $930 million in June 2024. AlphaSense was built for AI-driven document search across filings, broker research, and news. Tegus was built for expert interview transcripts and private company intelligence. They're now one platform, and the real question is whether that combined offering fits your workflow and budget.
Below is a practical comparison of how each workflow operates, where each excels, and what alternatives exist if you don't need a six-figure annual contract.
AlphaSense vs Tegus: Key Differences
The core difference is secondary research versus primary research.
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AlphaSense focused on AI-driven market intelligence: searching, summarizing, and analyzing public documents like earnings calls, equity research, company filings, trade journals, and news at scale.
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Tegus specialized in expert transcripts and qualitative data from former employees, executives, and industry insiders. Tegus covers expert research on over 35,000 public and private companies, with a cleaner UI for deep linear reading of interview content.
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The acquisition valued AlphaSense at $4 billion. The concurrent $650 million Series F was co-led by Viking Global Investors and BDT & MSD Partners, with participation from Goldman Sachs Alternatives, CapitalG, SoftBank Vision Fund, Blue Owl, and Alkeon Capital.
The combined platform now offers both document analysis and expert calls in one interface. That's a significant step for teams that need both. But it also means you're paying for both, whether you use them or not.
Data Sources and Content Access
AlphaSense Content Workflow
AlphaSense covers public and private companies through its search platform. Its content sets include:
- SEC and global regulatory filings
- Earnings call transcripts
- Broker research and equity research reports
- News, trade journals, and ESG disclosures
- Internal content through an Ingestion API for proprietary documents
The platform holds over 500 million external documents, machine-tagged and indexed. If your workflow revolves around financial data and public market analysis, this is where AlphaSense wins.
Tegus Content Workflow
Tegus is known for high-quality, investor-led expert interview transcripts. The library now exceeds 260,000 transcripts, growing several thousand per month.
- Primary research through expert calls with former employees, suppliers, and specialized buyers
- Private company intelligence not found in public filings
- Qualitative insights covering product feedback, leadership quality, customer sentiment, and unreported risk
If you need private company data or insider perspectives for due diligence, Tegus content is stronger than anything in AlphaSense's original document library. See our Tegus buyer review for more on the experience.
AI Search and Analysis Capabilities
AlphaSense Research Process
AlphaSense's NLP is built to analyze large volumes of unstructured text:
- Enter a natural language query. Search returns cited insights from documents, transcripts, and financial data.
- Smart synonyms expand the query automatically, catching related terms you might miss.
- AI-powered synthesis delivers insights in near real time across hundreds of documents.
- Trend analysis tools track how topics evolve across multiple time periods.
- Table Explorer extracts structured data from filings for spreadsheet analysis.
Generative Grid enables multi-company comparison across themes. Integration with Excel and PowerPoint supports quantitative workflows directly.
Winner for speed and breadth: AlphaSense. Answers in seconds across millions of documents.
Tegus Research Process
Tegus's search process is built around human insight rather than document volume:
- Search transcripts by company, topic, expert role, or time period.
- Filter by former employee tenure, geography, seniority, or functional area.
- Schedule custom expert calls with industry insiders for fresh perspectives.
- Synthesize qualitative data across multiple expert perspectives to validate hypotheses.
Winner for depth and qualitative insight: Tegus. Nuance no document search can replicate.
Expert Access and Primary Research
This is where AlphaSense and Tegus targeted different research needs.
| Criteria | AlphaSense (Original) | Tegus |
|---|---|---|
| Expert calls | Not a core feature pre-acquisition | Direct booking with former employees and insiders |
| Transcript library | Limited expert transcripts | 260,000+ transcripts, growing monthly |
| Private company content | Minimal | Core strength, covering niche industries |
| Time to insight | Immediate (document search) | Requires scheduling (expert calls) |
| Research type | Secondary, document-based | Primary, human-source intelligence |
AlphaSense uses AI to turn vast data into actionable insights from documents. Tegus specializes in deep-dive expert interviews and private company intelligence. The combined platform bridges both, but the workflow difference remains: document analysis is instant, expert research requires booking time.
Pricing and Accessibility
Neither platform publishes pricing. Both require enterprise-level annual contracts.
- Subscription tiers typically labeled Standard, Premium, and Enterprise
- Pricing depends on seat count, content access level, and add-ons like expert calls
- Per-seat cost drops at higher seat counts, but minimums remain high
- Expert call credits, API access, and internal content integration are often add-on costs
The combined platform maintains enterprise pricing. AlphaSense's valuation reached $4 billion at the Tegus deal, then $7.5 billion in 2026 alongside the $600 million ARR milestone. That growth comes from enterprise clients, not small teams. See AlphaSense pricing for 2026 for current benchmarks.
The accessibility problem: If you're a mid-market PE fund, a boutique consulting firm, or a founder doing pre-investment research, six-figure annual retainers don't make sense. You're paying for content sets and workflow tools you won't use.
Integration and Workflow Features
The combined platform offers:
- Deep Research – AI agent that builds reports automatically across documents and transcripts
- Generative Search – Natural language queries with cited results
- Workflow Agents – Automate recurring monitoring and analysis
- Financial modeling – Via Canalyst, enabling quantitative workflow tools
- Table Explorer – Extract structured financial data from filings
- Expert Calls – Schedule interviews, manage transcripts, set interview guides
- Internal Content – Upload and search proprietary documents alongside public data
The trade-off is a steep learning curve. Rapid feature releases mean frequent UI changes. Users report high onboarding costs. Managing both document and expert workflows demands skill not every team has the bandwidth for.
Use Case Fit
| Use Case | Better Fit | Why |
|---|---|---|
| Rapid market scanning | AlphaSense | AI search across 500M+ documents, instant results |
| Quantitative financial analysis | AlphaSense | Financial data, filings, Table Explorer, Excel integration |
| Private company due diligence | Tegus | Expert transcripts, insider perspectives, private company data |
| Niche industry research | Tegus | Specialized perspectives from former employees |
| Thematic trend analysis | AlphaSense | Sentiment tracking, trend detection across large corpuses |
| Deal validation | Tegus | Qualitative insights from people who worked at target companies |
| Combined workflow | AlphaSense + Tegus | Both, if you have enterprise budget and team capacity |
AlphaSense's AI search wins for teams doing broad, recurring research. Tegus wins when you need insights from humans who've operated inside the companies you're evaluating.
Which Workflow Fits Your Needs?
Choose the combined AlphaSense-Tegus platform if you need both document search and expert access, have an enterprise-scale budget, and can invest in onboarding a complex platform. For business and financial professionals at large institutions, the acquisition creates more comprehensive insights under one roof.
If you need expert research without committing to a six-figure annual contract, the combined platform isn't your only option. Alternative expert networks offer similar primary research capabilities with pay-per-use pricing — no annual retainer, no minimum commitment, transparent call costs, and the same compliance controls (expert vetting, MNPI training, conflict checks) larger networks provide. See Guidepoint alternatives for the broader landscape.
FieldSignal gives you access to expert calls, informed decisions on private companies, and qualitative research on your terms. You pay for what you use. No enterprise contract required.