$2.7M
$1.6M
3.7x
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Highly profitable, recurring-revenue telecom technology business that helps outbound-calling enterprises remove negative carrier spam labels, deploy branded caller identification, and protect phone-number reputation. The Company operates a cloud-delivered platform with direct workflows into AT&T, T-Mobile, and Verizon, removing spam labels typically within 2-3 days and continuously monitoring number health across a network of more than 400 million active mobile devices. Customers are predominantly outbound-heavy enterprises in insurance, financial services, lead generation, and contact center verticals where contact rates directly drive enterprise revenue. The business generated $2.71M of TTM revenue with a 59% EBITDA margin while growing revenue at a mid-30% CAGR from 2023 to 2025.
Why we like it
- Earnings quality is genuinely strong: a 59% EBITDA margin on $2.71M of recurring revenue producing $1.61M of cash flow is asset-light and high-conversion. Software revenue with 120% NRR means the installed base grows dollars even before adding a single new logo, which is the compounding engine you want to underwrite.
- The moat is the carrier plumbing. Direct workflows into AT&T, T-Mobile, and Verizon plus monitoring across 400 million devices is not something a competitor spins up over a weekend, and 2-3 day label remediation is a hard, measurable SLA that customers can feel. That integration depth is the real defensibility here, not the software UI.
- Market tailwinds favor this product structurally. Carriers keep tightening spam and robocall enforcement (STIR/SHAKEN, branded calling mandates), which continuously creates the exact problem this company sells against. Regulatory pressure is a growth driver, not a headwind, for a caller-trust business.
- The product is mission-critical and recession-resistant. Outbound-heavy enterprises in insurance, financial services, and lead gen live and die on contact rates, so when their numbers get flagged they pay to fix it regardless of the macro. This is closer to essential infrastructure spend than discretionary software.
- The entry multiple is reasonable for the profile. Paying 3.73x cash flow for a mid-30% grower with 59% margins and 120% NRR is well below where clean SaaS trades, leaving room for both operational upside and multiple expansion at exit if the concentration and integration risks clear diligence.
How to improve it
- Layer in structured pricing and packaging tiers based on line volume and number reputation risk. Many technical founders underprice mission-critical infrastructure, and a usage-based or tiered model tied to the value of restored contact rates could lift ARPU meaningfully in the first two quarters.
- Build a dedicated outbound sales motion targeting the exact verticals already buying: insurance carriers, BPO contact centers, and lead-gen shops. If growth to date has been largely inbound or referral, adding two SDRs and a defined ICP playbook is the fastest path to compounding the mid-30% CAGR.
- Expand the product into adjacent caller-trust services such as branded calling deployment at scale, deliverability analytics, and SMS/A2P reputation monitoring. These are natural attach sells to the same buyer and would push NRR above the current 120% while raising switching costs.
- Formalize the carrier relationships and integration redundancy. Document, and where possible contract, the AT&T, T-Mobile, and Verizon workflows so the business is not dependent on informal access, which both de-risks operations and materially raises the exit valuation.
- Institute customer success and QBR cadence to reduce any churn concentration and drive expansion. A structured account review program surfaces additional numbers, business units, and use cases within existing enterprise logos, converting the strong NRR into an even steeper expansion curve.
- Invest in reporting and a customer-facing dashboard that quantifies restored contact rate and revenue impact. Making the ROI visible in real time turns the product from a cost line into a documented revenue driver, which supports higher pricing and lower churn.
- Reduce key-person and technical concentration by hiring or documenting around the founder's carrier and engineering knowledge. Before or immediately after close, capture the remediation processes and integration logic so the business runs without the seller's tribal knowledge.
Diligence notes
- Verify revenue concentration and the durability of the carrier integrations. Confirm exactly how the AT&T, T-Mobile, and Verizon workflows function, whether they are contractual or informal, and whether any single carrier policy change could break the core product or the 2-3 day remediation SLA.
- Scrutinize customer concentration and contract terms. With only $2.71M in revenue, a handful of large enterprise logos could dominate; pull the customer-level revenue table, contract lengths, and churn history to validate the 120% NRR and understand exposure to a single account leaving.
- Confirm the cash flow figure and its adjustments. Reconcile the $1.61M cash flow against actual financials, scrutinize any add-backs, and clarify whether it reflects true EBITDA or SDE, since the 59% margin and the multiple both depend on that number being clean.
- Assess regulatory and compliance exposure. Because the business operates in the telecom trust and outbound calling space (STIR/SHAKEN, TCPA-adjacent activity, carrier terms of service), confirm the company and its customer base are compliant and that enforcement changes would help rather than harm the model.
- Establish founder dependency and transition terms. The listing does not disclose seller involvement, so clarify how much of the carrier relationships, sales, and engineering rest on the owner, and negotiate a transition and knowledge-transfer package before close.
- Validate the growth trajectory and pipeline. Confirm the mid-30% CAGR with monthly recurring revenue trends and current pipeline data to ensure growth is continuing rather than decelerating, since much of the thesis and the multiple rests on sustained expansion.
Source
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