The old expert network model
For the better part of two decades, the primary research workflow at a mid-market PE firm looked something like this: an associate identifies a company for diligence, the partner approves a call budget, and the research team spends three days coordinating schedules with an expert network to find a former operating executive who can speak to the target's competitive position.
The call happens. It costs between $600 and $1,200 for a single hour. Notes are handwritten or recorded by someone who wasn't fully paying attention. An analyst writes a memo two days later, reconstructing what was said from memory and a few bullet points. The insight half-life is roughly 48 hours.
This model was designed for a different era of deal-making — one where PE diligence ran over six months, deal teams had the patience to wait a week for scheduling, and the marginal cost of a single expert call was immaterial against a $300 million acquisition.
Why the model is breaking down
Deal velocity has compressed dramatically. What used to be a six-month diligence process now needs to happen in six weeks, sometimes six days. Expert networks — GLG, AlphaSights, Guidepoint, Dialectica — were built for the old pace. Their scheduling friction, hour minimums, platform fees, and compliance pre-screens were designed for teams that could absorb the wait.
In parallel, the number of diligence workstreams has expanded. Where a deal team used to run two or three expert calls per transaction, institutional-grade diligence now requires inputs on competitive positioning, pricing dynamics, customer retention, management quality, regulatory exposure, and technology stack — each of which ideally has a practitioner behind it. Running all of those as fresh expert calls is neither time-efficient nor cost-effective at scale.
Something had to give.
The emergence of transcript libraries
The solution — already established at the largest buy-side firms — is pre-screened, verbatim transcript libraries. Rather than commissioning every call from scratch, analysts can pull a relevant transcript — already MNPI-screened, already formatted for institutional use — and be reading primary research within minutes of identifying a research need.
Platforms like Tegus and Third Bridge built early positions in this space, offering large libraries of existing transcripts on a subscription basis. The model made sense for high-frequency research teams at large multi-manager hedge funds, where the subscription cost was amortised across hundreds of uses per month.
But for the mid-market PE fund running 15 to 20 diligence processes per year, a $15,000 to $50,000 annual subscription per seat is hard to justify. The research need is real, but the frequency doesn't support the overhead.
The per-transcript model and what it enables
Transcript-IQ takes a different structural position. Rather than subscription-based access to a locked platform, it offers individual transcripts on a per-purchase basis — starting at $349 for Director-level expert perspectives and scaling to $599 for C-suite calls.
For deal teams with episodic diligence needs, this changes the economics materially. A two-person associate team working a single-asset diligence process can purchase the three to five transcripts most relevant to their thesis question, spend two to three hours reading, annotate the key passages, and have a more informed conversation with management than they would have had from a single commissioned call.
The transcripts are MNPI-screened, PII-redacted, and carry a compliance certificate — which means they clear the same internal approval processes that govern traditional expert network usage.
What this means for how diligence actually gets done
The most interesting shift isn't in the cost — it's in the workflow. When research is available on demand, the sequence changes. Rather than commissioning a call to answer a question, analysts can now read to discover what questions they should be asking. The transcript becomes a pre-read before the management meeting, not a substitute for it.
Several teams we work with use the following sequence: buy two or three transcripts on the target's sector at the start of a new process; use the insights to sharpen the diligence hypothesis; run one or two commissioned expert calls on the specific questions that remain open; then use the transcripts again as reference material when stress-testing the IC memo.
It's a hybrid model — library plus commission — and it consistently produces better research at lower total cost than either approach alone.
What's still missing from pure transcript libraries
No pre-built transcript covers every diligence question. A library built on historical calls cannot speak to the specific regulatory development that landed last quarter, or the management change at the competitor that happened six weeks ago.
This is where custom commissioning fills the gap. For questions that can't be answered from the shelf, Nextyn runs bespoke expert calls — sourced, moderated, transcribed, and MNPI-screened — delivered within five to seven business days from brief submission. The pricing is comparable to a single GLG or AlphaSights call, but with the structured output of a proper transcript rather than a set of handwritten notes.
The combination of a transcript library for breadth and custom commissioning for depth is the direction institutional research is moving. The firms building this workflow now will have a meaningful structural advantage over those still running every question through the traditional expert network model.