Commercial Intelligence Agents for Protein Metrics

AI-powered prospect discovery, competitive intel, and territory enrichment - delivered as a managed service with zero lift from your team.

Prepared ForPaul DiGregorio, VP Sales
DateMarch 2026
ClassificationConfidential
How to Navigate This Proposal
1 Why This Works 2 Deliverables 3 Pricing 4 How It Works 5 Get Started

You Have Already Seen It Work

The account intelligence report we shared with Paul demonstrated what our agent stack produces for a single priority account.

25+
Data Sources Monitored
< 1 Week
From Kickoff to Report
Fact-Checked
Every Claim Sourced
40+ hrs
Research Replaced Monthly

From Steve Cypes, President - Protein Metrics

"It is potentially an impactful agglomeration of individual data points we come across as time allows, but in one cohesive, automated report."
"This goes beyond what our own Claude or ChatGPT would provide back from a quick attempt."

This proposal outlines how we scale that from a one-time demo into a repeatable commercial intelligence system for your sales team.

What Your Team Receives Concrete deliverables

Every engagement includes territory-specific reports with named contacts, competitive intel, and outreach hooks.

Monthly Tabbed Report

Monthly - Core Deliverable

Tabbed HTML report with per-rep territory views. Expansion signals include named contacts with entry angles. Net-new prospects each come with a contact and outreach hook. Every contact includes evidence source and "why now" trigger. Signal scan across all 25+ data sources filtered against your ICP.

Account Deep Dives

Monthly - You Pick the Account

Full account dossier with named personas by department, competitive landscape, outreach hooks per persona, and conference intel where relevant. Standard includes 1 per month, Premium includes 3.

Feedback & ROI Guide

Monthly - Included in Every Report

Step-by-step guide for querying HubSpot to measure activity from RC intel. Track contacts acted on, meetings booked, and opportunities created. Works with HubSpot Breeze or as a manual report template.

Priority-Ranked Signals

Every Report - Ranked by Actionability

Signals ranked across 6 priority levels by actionability. Immediate expansion triggers at the top, longer-term market shifts at the bottom. Reps focus on what matters this week; leadership sees the full picture.

Managed Intelligence Subscribers

Your agent improves continuously. New data sources are added as they become available. Models are refined based on your feedback. Signal filters are tuned to your evolving ICP. You always run the latest version - no upgrade fees, no migration, no IT involvement.

Report Structure Same data, different lens for each person

The first report was a single view. Going forward, reports are tabbed by audience - each person sees what's relevant to them without scrolling past content for other territories.

Worldwide

Paul - All Territories
  • All accounts, all regions
  • Cross-territory opportunities
  • Rep coverage gaps
  • Full net-new prospect list

Per-Rep Territory Tabs

One tab per rep - their accounts only
  • Chris Johnson (US)
  • Max Wang (US)
  • Nisha Sherma (SW US & APAC)
  • David Lascoux (Europe & India)
  • David Podesta (UK & N. Europe)
Territories mapped from HubSpot or Paul's input

Strategic Deep Dive

Full Team
  • 1 deep dive per month (you pick the account)
  • Named personas by department
  • Competitive landscape + strategy
  • Outreach hooks per persona

Feedback & ROI

Sales Leadership
  • CRM query guide for measuring activity
  • Contacts acted on, meetings booked
  • Signal quality feedback for tuning
  • Month-over-month trend tracking
Why Per-Rep Tabs: Paul sends each rep their tab - Chris only sees his accounts, David L. only sees Europe. No scrolling past irrelevant content. Each tab is a ready-to-use cheat sheet: who to call, what to say, and why now. Multi-location accounts (e.g. a company with sites in SF, Toronto, and Munich) get location-specific signals routed to the right rep's tab, with the full picture visible in the Worldwide view. With 6 reps, every tab is fully personalized. Adoption goes up because relevance goes up.

Below is a sample of the Worldwide tab from a real report. This is what Paul would see - all territories, all signal types. Each rep gets their own tab with only their accounts. The full report includes 18 signals across all territories. Below, 5 of those signals are shown with 19 real contacts - complete with LinkedIn profiles, verified emails, and outreach angles - sourced specifically for this proposal.

revenuecatalyst.io/intel/protein-metrics-q2-2026
Revenue Catalyst
Commercial Intelligence Report - Protein Metrics
Generated March 2026
Worldwide (Paul) 18 signals 54 contacts
Chris Johnson (US) 4 signals 12 contacts
Max Wang (US) 3 signals 9 contacts
Nisha Sherma (SW US & APAC) 2 signals 6 contacts
David Lascoux (Europe & India) 7 signals 21 contacts
David Podesta (UK & N. Europe) 2 signals 6 contacts
Deep Dive
Feedback & ROI
All territories - expansion signals, net-new prospects, and contacts across the full team
Expansion Signals - All Territories
Eli Lilly
EXPANSION - XL
$65.2B revenue (+44.7% YoY). Medicine Foundry scaling manufacturing QC. 3 open analytical roles. Genedata in BDR only - greenfield in manufacturing.
Allison Dill, PhD
Senior Director, Analytical Sciences R&D
Angle: Decision-maker for analytical sciences - Purdue MS lab pedigree, owns tool evaluation
Source: LinkedIn + Purdue Aston Labs publications
Zhongping Liao, PhD
Director, Protein Characterization / LC-MS
Angle: Intact mass + peptide mapping lead - published in FEBS Journal on insulin receptor proteomics
Source: LinkedIn + Google Scholar (6 publications)
Olivia Huffman
Principal Scientist, Protein Mass Spectrometry
Angle: Intact + middle-down biotherapeutic characterization - throughput-focused, San Diego biotech center
Source: LinkedIn + ASMS 2021 poster
Bowen Shen, PhD
Mass Spectrometry Advisor
Angle: LC-MS methods for AOCs + antibody scaffolds - 113 citations, new to Lilly and evaluating tools
Source: Google Scholar + UMD dissertation defense
Regeneron
EXPANSION - L
3 open LC-MS roles signal analytical capacity buildout. Tarrytown facility expansion. Dupixent biosimilar defense driving QC investment.
Haibo Qiu, PhD
Director, Analytical Chemistry
Angle: Budget holder for analytical tools - mAb + AAV characterization, published 2025
Source: LinkedIn + Analytical Chemistry (2022), Protein Science (2024)
Shunhai Wang, PhD
Director, Therapeutic Proteins
Angle: Native LC-MS intact mass analysis pioneer - 914 citations, published in JASMS on exact Byos workflow
Source: Google Scholar + JASMS (2020, 2024, 2025)
Shuli Tang, PhD
Senior Scientist, Analytical Chemistry
Angle: Hands-on LC-MS innovator - mAb CDR deamidation analysis, end-user champion
Source: LinkedIn + Analytical Chemistry (2024), JASMS (2025)
Net-New Prospects - Worldwide
Zymeworks
ADC pipeline - needs intact mass analysis
Michelle Emrick, PhD
Assoc. Director, Analytical Development
Angle: Leads analytical dev with deep MS expertise - cross-linking MS, proteomics
Luying Yang
Sr. Scientist, Analytics Group Lead
Angle: Leads 9-person analytics team - co-author on ZW220 + ZW191 ADC AACR abstracts
Linglan Fu, PhD
Scientist, Analytics / Mass Spectrometry
Angle: Day-to-day MS operator - end user for intact protein analysis tools
EpiBiologics
$70M Series A - protein degradation (EpiTAC platform)
Lichao Zhang
Distinguished Scientist (Mass Spectrometry)
Angle: Co-authored book on CE-MS therapeutic protein characterization - ASMS presenter
Andrew Goodrich, PhD
Assoc. Director, Protein Sciences
Angle: Protein sciences lead - ex-Genentech, biophysics PhD, bispecific antibody characterization
Noah Solomon
Associate Scientist, Protein Sciences
Angle: Bench-level end user - CRO background (Aragen), hands-on with protein characterization daily
Bicycle Therapeutics
Novel bicyclic peptide conjugates - greenfield opportunity
Mike Hannay, D.Sc.
Chief Product & Supply Chain Officer
Angle: CMC decision-maker - ex-Thermo Fisher GM, owns analytical tool selection
Sebastian Schwenk
Senior Scientist, Medicinal Chemistry
Angle: 14 yrs at Bicycle - MS analysis of bicyclic peptides, European Peptide conference presenter
Adam Petrone
Senior Scientist, Protein Characterization
Angle: Recombinant protein purification + characterization - CAR-T discovery background

Showing 5 of 18 signals from the Worldwide tab with 19 named contacts. The remaining 13 signals span Chris, Max, Nisha, David L., and David P.'s territory tabs.

Feedback & ROI Tab

Each report includes a simple guide for measuring activity and ROI in HubSpot. We provide prompts for HubSpot Breeze to run the queries for you. If not, we provide the report template to build yourself.

This is how the system gets smarter. Your HubSpot data tells you if reps are acting on the intel. Your feedback tells us how to make the next report more precise.

Week 1: Deliver

  • You pick one priority account for the deep dive
  • Optionally share a HubSpot account export (improves report quality)
  • RC delivers tabbed report (Worldwide + one tab per rep + Deep Dive)
  • Paul sends each rep their personal tab

Weeks 2-4: Work It

  • Reps reach out to RC-sourced contacts
  • Test outreach hooks and entry angles
  • Use competitive intel in customer conversations
  • Paul tracks: who used what, any meetings booked

End of Month: Debrief

  • 30-min call to review outcomes
  • Which contacts did reps act on?
  • Any meetings or pipeline from RC intel?
  • Go/no-go on monthly engagement
If the intel drives action, your $2,500 is credited toward your subscription - monthly or annual. If not, you keep the report and we part friends. Zero lock-in.

Engagement Options Managed intelligence for your commercial team

Every option is zero-footprint on your systems. No IT, no security review, no integrations required.

Managed Intelligence - Premium

$5,000/mo
Billed monthly
  • Everything in Standard
  • 2 additional deep dives per month (3 total)
  • Monthly strategic review call (30 min)
  • LinkedIn network matching (optional) - see which contacts your reps already know
YOUR LIFT: NEAR ZERO
Same as Standard, plus 30 min/month strategic review. No IT, no security review. Zero footprint on your systems.

Build + Transfer

$25,000 - $35,000
One-time + $1,500/mo advisory
  • Full agent stack on your infrastructure
  • Team training, docs, and IP transfer
  • Advisory retainer for ongoing tuning
  • You own the agents and data pipeline
YOUR LIFT: SIGNIFICANT
IT involvement required. Your team maintains infrastructure, API keys, and model costs.

Why This Is Not DIY RC agent stack vs. ChatGPT / Claude

When someone on your team opens ChatGPT and asks about a target account's analytical needs, they get a plausible-sounding paragraph based on training data that is months old. No verification. No named contacts. No competitive positioning from conference talks. And next week they start from scratch.

RC Agent Stack vs. DIY

Dimension DIY (ChatGPT / Claude) RC Agent Stack
Data sources 1 (LLM training data) 25+ live APIs, refreshed weekly
Freshness Months-old training cutoff Real-time (scraped that week)
Named contacts Generic titles, often hallucinated Real people with evidence source
Fact verification None - will confidently state wrong numbers Dedicated fact-check pass on every figure and name
Competitive intel Generic landscape Conference talks, job postings, publications
Institutional memory Starts from scratch every session Cumulative - each report builds on the last
Cross-referencing Can't check your customer list, CRM, or rep network Filters against install base (from public data or your account list), flags existing relationships
Output Chat text, manually reformatted Professionally formatted, shareable, territory-specific reports
Rep time 2-4 hours of prompting per account Zero - reps consume, not produce
Scalability One person, one account, one session Monitors entire TAM continuously

What Is Under the Hood The agent architecture behind every report

25+ data sources, 3 parallel research agents, a dedicated fact-check agent, and a signal engine that gets smarter every month - from raw data to territory-ready intelligence.

Data Collection - 25+ Sources Monitored Continuously

7 Government & Regulatory APIs

FDA device clearances (510k), premarket approvals (PMA), drug approvals (NDA/BLA), SEC financial filings, funding disclosures, executive change filings, and clinical trial completions. Structured, authoritative data - not scraped summaries.

5 Job Intelligence Platforms

Commercial hiring signals across multiple applicant tracking systems and job aggregators. Open roles for sales ops, revenue ops, commercial leadership, and lab buildout positions at target accounts - often the earliest signal that a company is investing in growth.

8 Industry News Feeds

Real-time monitoring of biotech, pharma, medtech, and life science news sources. Executive moves, M&A activity, funding announcements, facility expansions, and partnership deals surfaced within hours of publication.

Financial Intelligence

Quarterly revenue data parsed from public filings. Companies showing 10%+ year-over-year growth flagged as expansion signals. Revenue breakdowns by segment reveal where investment is flowing.

AI-Powered Deep Research

Proprietary research layer that synthesizes across hundreds of web sources, press releases, investor presentations, and company disclosures. Connects dots that structured APIs miss - like linking a facility announcement to a specific rep's territory.

Signal Processing - 3 Parallel Research Agents

Signal Aggregation Engine

Thousands of raw data points filtered through ICP matching, 45-day deduplication (no stale intel resurfaces), install-base cross-referencing, and priority ranking. Your reps see "grow existing account" vs. "land new logo" at a glance.

Expansion Signals Agent

Identifies growth triggers at existing and target accounts: new lab buildouts, manufacturing expansions, technology transitions, leadership hires, and competitive displacements. Each signal includes named contacts and an entry angle.

Net-New Prospect Agent

Discovers companies not on your radar. Ranked by ICP fit and signal strength. Every prospect includes at least one named contact with a LinkedIn profile, email where available, and a specific reason to reach out.

Deep Dive Agent

Full account dossier on your priority account. 8-15 named personas mapped by department and influence level. Competitive landscape, technology stack, and outreach hooks tailored to each persona type.

Fact-Check & Verification

Dedicated Fact-Check Agent

Runs after the research agents complete. Every financial figure, persona name, company detail, and competitive claim independently verified against public sources. Caught 6 errors in your first report before delivery.

Source Attribution

Every claim in the report traces back to a verifiable source - a regulatory filing, press release, job posting, or clinical trial record. No unsourced assertions reach the final report. Your reps can cite the evidence in conversations.

Cumulative Memory

The agent remembers every signal it has surfaced, what your team acted on, and what was marked as noise. By month 5, it knows which competitors keep appearing at target accounts, which signal types your reps actually act on, and which accounts were flagged as low-priority. It stops resurfacing noise and gets sharper on what drives meetings. This institutional memory is impossible to replicate with manual research or generic AI tools.

Report Assembly & Delivery

Tabbed Territory Reports

Per-rep territory views so each rep sees only their accounts. Worldwide tab for sales leadership with cross-territory opportunities and coverage gaps. Standalone HTML - shareable, printable, no login required.

Contact-Level Detail on Every Signal

Not just company names - named contacts with LinkedIn profiles, email addresses where available, CRM status badges (NEW vs. IN CRM), and a specific entry angle. Reps can act the same day they read the report.

Priority-Ranked Signals

Signals ranked across 6 priority levels by actionability. Immediate expansion triggers at the top, longer-term market shifts at the bottom. Reps focus on what matters this week; leadership sees the full picture.

Start Here: 30-Day Proof of Concept $2,500 - credited toward your subscription

The full Standard deliverable - tabbed report, per-rep territories, deep dive, named contacts - delivered within a week. Your team works the intel for the rest of the month. If it drives action, your $2,500 is credited toward your subscription. If not, you keep the report and walk away.

Proof of Concept
$2,500
One report. One deep dive. Go/no-go.
Continue Monthly
$1,000
due month 1, then $3,500/mo ongoing
$2,500 PoC credited toward month 1
Continue Annual
$31,100
year 1 total ($2,591/mo effective)
$2,500 PoC credited + 20% annual discount
If the intel drives action, your $2,500 is credited toward your subscription - monthly or annual. If not, you keep the report and we part friends. Zero lock-in.
Start the PoC - $2,500
Secure payment via BILL. No account required.

Have questions first? Book a call with us