Question 1

What is Taimet?

Accepted Answer

Taimet is the first AI platform purpose-built for merger antitrust risk analysis. It produces a detailed written report and a 0-100 Taimet Score, delivering analytical depth that would take a senior antitrust attorney 10 to 15 hours - typically in 10 to 25 minutes. Learn how it works. The framework was developed by Gwendolyn J. Lindsay Cooley, Taimet's Founder, who spent nearly two decades as Wisconsin's Assistant Attorney General for Antitrust and led 42 state attorneys general in a $102.5 million pharmaceutical antitrust settlement.

Question 2

Who is Taimet designed for?

Accepted Answer

Taimet is built for professionals whose work depends on understanding merger antitrust risk. Investment firms and hedge funds use it to assess merger arbitrage positions and surface risk factors before the market prices them in. Law firms use it to screen transactions for antitrust exposure at a fraction of the cost of manual research. Private equity firms screen acquisition targets before committing meaningful diligence resources. Business consultancies use it to add credible antitrust analysis to pre-deal deliverables. General counsel at Fortune 500 companies use it to assess acquisition risk before a deal advances internally. State attorneys general and their antitrust staff use it to triage merger filings at scale. The analysis is calibrated for expert-grade professional use.

Question 3

What types of mergers can Taimet analyze?

Accepted Answer

Taimet handles horizontal, vertical, diagonal, conglomerate, cross-market, cluster market, and private equity deals - including combinations of those structures in a single transaction, which is how most real mergers look. The system identifies the structure automatically; you don't need to classify the deal first. When a transaction has a vertical component, the report includes a vertical analysis with foreclosure risk, access to competitively sensitive information, and dual entry concerns, alongside the horizontal and other frameworks the facts call for.

We process transactions in every industry - from pharmaceuticals to semiconductors to healthcare to mining to any other industry.

One practical limit: Taimet's analysis depends on public information - SEC filings, web presence, trade data, news coverage, and other open sources. When one of the merging parties is very small and has virtually no public footprint, there may not be enough data to anchor a thorough analysis. In practice, this rarely matters. Any deal significant enough for an analyst, lawyer, or investor to care about almost always involves parties with meaningful public information - which is the same data state enforcers rely on when they screen mergers. If a transaction is too small to show up in public records, it is likely too small to draw regulatory scrutiny.

Question 4

How is Taimet different from just using ChatGPT or Claude?

Accepted Answer

General-purpose LLMs fail on antitrust questions in ways that are hard for non-experts to catch. They cite superseded merger guidelines. They fabricate state statutes with plausible-looking citations that don't say what the model claims. They produce vague, confident-sounding summaries that miss the enforcement dynamics that actually determine how a merger plays out. These aren't edge cases - they're patterns documented against ChatGPT, Claude, and Gemini specifically for antitrust questions.

Taimet is a proprietary multi-agent system, not a wrapper around a general-purpose model. We run more than 100 coordinated LLM responses across multiple providers for each analysis, with verification passes throughout, driven by hundreds of pages of expert-tuned prompts that encode 20 years of antitrust enforcement reasoning. The difference isn't one of degree - it's a difference in kind.

Question 5

How does a Taimet analysis work?

Accepted Answer

Taimet runs a proprietary multi-agent pipeline: specialized AI agents research the merging companies, identify relevant markets and overlaps, analyze vertical relationships, assess state AG posture, evaluate the current political context and each party's prior conduct, and synthesize everything into a structured report. Many agents run in parallel for speed; others run sequentially where one stage depends on another's output. The pipeline also scales dynamically - for transactions with many overlapping markets, the system spawns additional agents to ensure the depth of analysis matches the complexity of the deal. See a full breakdown of how the pipeline works.

Question 6

What data sources does Taimet use?

Accepted Answer

Taimet draws exclusively from public sources: SEC filings, investor presentations, court records, regulatory filings, reputable news sources, trade publications, press releases, and other publicly available information. These sources are cited so they can be independently verified. This public-data foundation is a deliberate design decision, not a limitation. For investors, it means the analysis creates no insider-trading exposure. For counsel and enforcers, it means no confidentiality negotiations and no protective orders needed. For every user, it means every cited fact can be independently verified.

Question 7

How long does an analysis take?

Accepted Answer

A typical analysis completes in 10 to 25 minutes. Market identification and initial overlap analysis finish first and are readable while the rest of the pipeline continues - so you're working with early results, not waiting. Complex transactions with many overlapping markets or significant vertical exposure may run somewhat longer.

Question 8

What information do I need to provide?

Accepted Answer

Just the names of the two merging companies. Taimet researches everything else from public sources. This is a deliberate design choice with three direct consequences: it simplifies compliance (no documents need to be cleared through internal review), strengthens security (no confidential data enters the system), and protects the integrity of the analysis (merging parties can't supply materials to influence the result).

Question 9

What does a Taimet report include?

Accepted Answer

A Taimet report covers the full antitrust landscape of a specific transaction - analyzed in the actual context it will be reviewed in, not a hypothetical one. That means the current administration's enforcement priorities, which state AGs are likely to act, the parties' prior conduct and litigation history, and how market conditions look in practice, not just in theory.

– Executive summary and transaction type classification – Detailed analysis of the quantitative and qualitative factors that will be considered by the enforcers. This includes the antitrust merits and also the real world factors that will influence the outcome. – Market overlap and company market analysis - evaluated at multiple levels of breadth and narrowness, compared against adjudicated precedent – Vertical analysis: foreclosure risk, access to competitively sensitive information, and dual entry concerns – Application of the 2023 Merger Guidelines – State AG enforcement analysis – Related actions and prior conduct review – A full list of cited public sources

The analytical framework is calibrated by Gwendolyn J. Lindsay Cooley, Taimet's Founder - someone who spent two decades in the world mergers are actually reviewed in.

Question 10

How does Taimet ensure the accuracy of its analysis?

Accepted Answer

Taimet addresses the hallucination problem that makes general-purpose LLMs unreliable for high-stakes analysis through several verification mechanisms built into our proprietary architecture. Reasoning-consistency checks compare conclusions across independent agents. Claims that lack source support are flagged. Cross-validation between pipeline stages catches inconsistencies before the report is finalized. The result is a system that checks its own work - not perfectly, but systematically, in ways a general-purpose chatbot cannot.

Question 11

Can I verify the sources cited in a Taimet report?

Accepted Answer

Yes. Sources are cited throughout the analysis for specific claims, and all sources are included at the end of the report. Taimet draws exclusively from public sources - SEC filings, court records, regulatory filings, news, trade publications - so claim and data sources can be verified by reading the underlying document. Beyond that, Taimet's internal citation-checking agents verify that each source actually supports the claim it's attached to before the report finalizes. More on how Taimet's verification layer works.

Question 12

Who built the analytical framework behind Taimet?

Accepted Answer

The analytical framework was built by Gwendolyn J. Lindsay Cooley, Taimet's Founder. She served nearly two decades as Wisconsin's Assistant Attorney General for Antitrust, chaired the NAAG Multistate Antitrust Task Force, led 42 state attorneys general in the Suboxone antitrust litigation ($102.5 million settlement), and testified before the U.S. Senate on competition policy. Her enforcement reasoning is encoded into every stage of Taimet's analysis pipeline - from market definition methodology to state AG enforcement analysis to the realpolitik factors that determine where enforcement attention actually lands.

Question 13

What data does Taimet collect from me?

Accepted Answer

To run an analysis, Taimet needs only the names of the two merging companies. No documents, no proprietary data, no confidential materials. Your account information is handled with standard enterprise security practices.

Question 14

Is there any insider trading risk from using Taimet?

Accepted Answer

No. Taimet is built with exclusively public data - SEC filings, court records, news, and other publicly available information. The analysis introduces no non-public information, so trading on Taimet's output creates no insider-trading exposure. For investment professionals, this is a deliberate architectural decision: a research tool you can actually use.

Question 15

Can I upload documents for Taimet to process?

Accepted Answer

No - and this is by design. Taimet creates its analysis entirely with public sources and doesn't accept document uploads. This serves three purposes simultaneously: compliance (you don't need to clear documents through internal review or negotiate confidentiality agreements), security (no party-confidential data can enter or leak from the system), and integrity (merging parties can't supply materials to influence the analysis). Because the analysis is grounded entirely in public sources, no party can reverse-engineer what lowers a score or game the result.

Question 16

Is my analysis data kept confidential?

Accepted Answer

Yes. Your analyses and results are private to your organization. Taimet does not share, sell, or use your analysis data to train models. For details on data handling and retention, see our security policy and data retention policy.

Question 17

How much does Taimet cost?

Accepted Answer

See our pricing page for current plans, rates, and prepaid options. One analysis is about equivalent to 30 minutes of Biglaw senior associate time; an entire annual subscription is about equivalent to 10 hours of that time. Taimet typically delivers in 10 to 25 minutes what typically takes days to research manually.

Question 18

Can I try Taimet before committing to a subscription?

Accepted Answer

Yes. The single-analysis prepaid plan lets you run one full analysis for $1,150. You can also contact our team to request a demo or discuss a pilot.

Question 19

What's the difference between subscription and prepaid plans?

Accepted Answer

Subscription plans include unlimited analyses and up to 5 team members - best for firms with ongoing deal flow. Prepaid plans offer a fixed number of analyses (1, 5, or 10) with one year of access - suited for firms that need occasional analysis or want to evaluate the platform before subscribing.

Question 20

How many people on my team can use one account?

Accepted Answer

Both subscription and prepaid plans include up to 5 team members. Enterprise plans offer custom seat counts.

Question 21

How do I get started?

Accepted Answer

Sign up to choose a plan and run your first analysis. If you'd like to see a demo or discuss enterprise pricing, reach out through our contact form.

Frequently Asked Questions

About Taimet

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Accuracy and trust

Data and security

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