M&A Advisors. Data Engineers.
AI Agents.
We help recurring revenue companies operate the way buyers evaluate them — every month-close, not just at exit. Built by practitioners who spent a decade inside PE-backed SaaS diligence.
Help recurring revenue companies operate the way buyers evaluate them
Every month-close. Not just at exit.
Bridge the gap between M&A rigor and operating reality.
PE sponsors understand M&A. Portfolio companies understand operations. Both sides are frustrated that the other doesn’t get it — and that tension costs millions in the data room. We built Pacer AI because we’ve lived both sides. We know what buyers look for, we know what portcos struggle with, and we know the gap between them is solvable.
Operational data in. Revenue intelligence out.
Connect your CRM, billing, and ERP. Pacer AI builds the customer data cube on Microsoft Fabric, then streams live dashboards, Excel models, and AI agent access.
Built by someone who lived the problem
Will Sullivan spent over a decade building revenue data infrastructure for PE-backed SaaS companies at PwC’s TMT Financial Due Diligence and Analytics practice — reconciling CRM exports, rebuilding ARR waterfalls, and explaining to boards why the numbers changed since last month.
After watching the same pattern repeat across dozens of companies — smart teams burning months to produce basic revenue analytics that should already exist — he built Pacer AI. Over $25B+ in SaaS M&A transactions. 40+ customer data cubes built for advanced GTM sales planning, ARR forecasting, and operationalized for weekly Sales & RevOps cadences. West Point graduate.
An advisory network built for PE-backed SaaS
Veach.AI — Quality of Earnings
Alexander Veach brings algorithmic Quality of Earnings and Customer Due Diligence to the partnership. His 9-phase QoE methodology covers EBITDA normalization, working capital analysis, and balance sheet validation — the financial counterpart to Pacer AI’s Quality of Revenue.
Together, Pacer AI (QoR) + Veach AI (QoE + CDD) deliver a unified diligence preparation package. Companies that engage both firms enter diligence with revenue integrity and earnings quality already validated. veach.ai
Weighbridge — Tech Due Diligence
Brendan Cody-Kenny is the Founder of Weighbridge (a Xiliary Systems product), providing technical due diligence for PE and VC investors evaluating B2B software companies. Weighbridge assesses code quality, architecture, scalability, security posture, and engineering team capability — the technical counterpart to Pacer AI’s Quality of Revenue and Veach.AI’s Quality of Earnings.
Together, Pacer AI (QoR) + Veach AI (QoE) + Weighbridge (Tech DD) deliver a complete diligence preparation package across revenue, earnings, and technology. Companies that engage all three firms enter diligence with revenue integrity, earnings quality, and technical defensibility already validated. xiliary.com/weighbridge
Inside Consulting — Strategic Purchasing & Spend Optimization
Mac Hodell is Managing Partner at Inside Consulting, with 23+ years in management consulting including 7 years at Boston Consulting Group where he achieved Principal early. A West Point graduate (Quantitative Economics) and Wharton MBA, Mac specializes in accelerating earnings growth through procurement optimization, sales force effectiveness, and operational efficiency.
Mac’s approach combines hypothesis-driven problem-solving with advanced analytics — Linear Performance Pricing, multivariate regression modeling, and proprietary diagnostic scoring tools. When boards ask “how do we improve EBITDA?” the answer requires both revenue growth intelligence (Pacer AI) and cost optimization strategy (Inside Consulting). Together, we deliver the full value creation plan. insideconsulting.net
Charlie Mike Consulting — Interim RevOps Leadership
Tom Pae is the founder of Charlie Mike Consulting, providing fractional Revenue Operations leadership for B2B tech companies from $5M to $3B ARR. With 10+ years at successful B2B tech companies, Tom specializes in board prep, territory assignments, compensation and quota planning, pipeline forecasting, and Salesforce architecture.
RevOps teams need more than dashboards — they need strategy and planning, tools and technology integration, core operations process, and data analytics frameworks. Pacer AI builds the customer data foundation; Charlie Mike operationalizes it into territory plans, deal desk workflows, and pipeline forecasting models that reps and leadership actually use. charliemikegtm.com
Modern Revenue — Sales Compensation Planning
Jaap Westerink leads Modern Revenue, a growth execution consulting firm that aligns GTM and Finance for B2B SaaS and services companies. His firm specializes in sales quota configuration, compensation design, GTM resource allocation, Revenue Operating Systems, and GTM due diligence — bridging Finance and GTM with shared language and common data frameworks.
Modern Revenue has served 30+ companies globally including Accenture, Autodesk, Genesys, WeWork, and RingCentral. Pacer AI’s cohort-level revenue decomposition powers smarter comp design: which reps drive expansion vs new logos, which segments yield higher retention, and where cross-sell incentives actually move the needle. Jaap turns those insights into comp plans that align seller behavior with growth strategy. modernrevenue.com
Advisors empowered by AI agents
Pacer AI is built on a proprietary data transformation platform where every advisor is empowered by trained AI agents. Claude Skills, custom n8n workflows, and our fine-tuned ARR Analyst Agent handle data reconciliation, draft reporting, cohort analysis, and client intelligence — the work that used to take a team of four.
Clients get access to the Pacer AI Analyst Agent inside Excel and Power BI, trained on the M&A framework we’ve built over $25B+ in SaaS transactions. It answers board questions in plain English, drafts waterfall commentary, and flags diligence risks before buyers find them. This is how we deliver institutional-grade revenue intelligence at a fraction of Big 4 cost.
Ready to operate like buyers evaluate?
Whether you’re preparing for the next board meeting, building a Customer Data Cube, or eyeing an exit window — we’d love to show you what operating with M&A-grade rigor looks like.