Not more cold volume — a live knowledge graph of every pharma, biotech, and cell & gene therapy developer in Pace's orbit, scored by the buying moment that matters: a phase transition, a Catalent or WuXi displacement, a funding round that turns a program into an RFP. Wrapped in a custom app, your own database, and warm-intro-first outreach — an engine for your BD team, not a lead list.
Everything on this page is built specifically for Pace Life Sciences. The intelligence is live — drawn from an 18-report deep-research run on your market. The infrastructure is ready to deploy.
The BioCreative Launch program builds Pace Life Sciences' complete commercial system in three overlapping waves — research and knowledge graph first, then the database, UX, and sending infrastructure, then live activation across LinkedIn and email. Tuned for a long CDMO cycle where the win is precision and relationships over time, not dial count. Every artifact is yours to keep.
Map the universe of pharma, biotech, and CGT developers that outsource analytical testing, CMC/drug-product development, and sterile fill-finish — segmented by Pace's service lines (Small-Molecule Center of Excellence, large-molecule/biologics, Salem NH aseptic fill-finish, CGT analytical). Layer in the buying-moment signals that actually trigger a CDMO decision: phase transitions, funding rounds, and Tier-1 / offshore displacement. The knowledge graph everything else runs on, populated with real Pace-relevant signals.
Postgres database, custom React dashboard, virtual server provisioned, sending domains warmed, third-party APIs integrated, enrichment pipeline live. Built in Pace's brand and behind your commercial team's login. Owned at handoff.
Multi-channel, relationship-first outreach live. Custom messages generated against your knowledge graph and sent through warmed infrastructure on a dedicated IP — with account-specific hooks (the program, the phase, the displacement). Reply classification active. Pipeline reporting live in your UX. Qualified conversations booked for your BD team.
Every section below dives into a piece of this. What we build, how it works, and proof it's already running.
A complete commercial system — custom React UX, Postgres database, backend automation, and hardened sending infrastructure — built in Pace's brand. Cancel anytime and take everything with you: the app, the database, the server, the code. No lock-in, no black box.
Accounts, campaigns, news, outreach — one operator UX in your brand, behind secure login. Hosted on your virtual server. Transferable to any host.
SQL database. Real-time, exportable, API-accessible. Every table, every row — yours.
The backend hub for everything we build — APIs, automations, news ingestion, channel connections all run here. Available for migration if needed.
Every line of code — front-end, back-end, schema, knowledge graphs, data pipelines, agent harnesses, prompts. All in your repo, all yours to transfer.
Edge functions, coordinated n8n flows, custom Python and TypeScript harnesses — all executing on your server. The automation layer that keeps everything running.
Multi-account LinkedIn automation. Your workspace, your rep accounts, your campaign data.
Warmed sending infrastructure on a dedicated BioCreative IP. Your domains, your mailboxes.
Every piece above becomes Pace's property at handoff. The UX, database, server, and GitHub repo form a transferable unit — move it anywhere, run it independently.
These are the tools and feeds we operate continuously to populate Pace's database with classified accounts, enriched contacts, scored news, and live intelligence. You don't license these individually — we run them and the structured output lands in your database, ready to power messages, the live newsfeed, and your team's daily UX. We've already used a combination of these tools to begin building this page and populating yours.
Sponsor, site, PI, phase, indication — live trial graph.
Publication record, co-author graph, preprint signal.
Active and historical grants, awards by lab and PI.
Regulatory, capital markets, and IP signals.
Waterfall enrichment — emails, firmographics, technographics.
Multi-source contact verification and enrichment cascade.
Title, tenure, company moves, intent signal.
Full-page scrapes of competitor sites, prospect pages, branding, and layout patterns — plus real-time web search for news, market signals, and public intelligence. Feeds knowledge graph continuously.
Self-contained pipeline: RSS feed scrapes + news API calls → keyword alignment against your watchlist → AI classification and per-client summaries. Runs 2×/day. Powers the live newsfeed in your UX.
Static LLMs we orchestrate
Claude · GPT · Gemini · Perplexity — these LLMs work as static processors. We engineer the context around them — what goes in determines what comes out.
We build a custom news pipeline for each client: RSS feed scrapes + news API calls pull raw articles from dozens of sources, then custom code runs keyword alignment against Pace's watchlist — your competitors, target accounts, therapeutic areas, regulatory bodies. Brave Search adds web-level enrichment where RSS gaps exist. An AI classifier scores each article for relevance and writes a per-client summary of why it matters to your business.
Every restructured Catalent site is a displacement signal — early-phase CMC, small-batch sterile, and analytical clients being de-prioritized. Scored against Pace's service fit (RTP analytical CoE, Salem NH fill-finish), these become priority target accounts the moment the disruption touches their program, not when they issue a new RFP.
Regulatory pressure on WuXi and other offshore CDMOs is pushing hundreds of programs toward U.S. alternatives. Pace's 100% U.S.-owned footprint is the differentiated answer — and the news scraper flags the WuXi-exposed programs actively seeking a domestic partner so your BD team can reach them first.
Two real items pulled and scored this week. The system runs continuously — you see every signal that matters, nothing that doesn't.
Pace has been in analytical and CDMO services for two decades — you know this market. So this isn't market education. It's the delta: the specific accounts, at specific moments, where a CDMO conversation is live right now. Three examples from the 18-report deep-research run we've completed on your market.
Novo Holdings' $16.5B Catalent acquisition is displacing clients across sterile fill-finish, small-molecule analytical, and biologics as capacity shifts to its largest accounts. Pace already moved — the RTP analytical Center of Excellence and the Salem NH aseptic fill-finish CoE. The displaced early-phase CMC, small-batch sterile, and fast-turnaround analytical clients stay capturable through 2025–2026 — and we surface them by matching Catalent's footprint to Pace's fit.
WuXi client displacement driven by the BIOSECURE Act is real and accelerating, with hundreds of biopharma programs seeking a U.S.-owned, U.S.-operated alternative. Pace's fully domestic network is a direct answer that most emerging biotechs don't yet know to ask for by name. By flagging WuXi-exposed programs — by molecule, phase, and sourcing history — the engine puts Pace in the reshoring conversation before the replacement CDMO is chosen.
Tier-1 giants win scale but exclude clinical-stage and emerging biotech — Lonza's $10M+ minimums and 6–18-month program starts, Thermo's scale-first model. Pace's mid-market flexibility and turnaround win there. By tracking phase transitions and funding against ICP fit, we spot the venture-funded programs entering a CMC, analytical, or fill-finish decision now — where Pace's 'established reliability, mid-market flexibility' pitch lands hardest, ahead of the re-RFP.
Same knowledge graph, same data layer, same UX you'll log into. We've started; activation is the next step.
Every account and contact in Pace's database runs through a layered enrichment pipeline before a single message gets generated. Each level is a deterministic gate — cost-controlled, source-traced, validated. Junk goes out; signal stays in.
Accounts run through progressive enrichment levels — light enrichment fills missing data via search + LLM, deep enrichment runs category-aware research into structured intelligence fields. ICP scoring is the final gate: tier and fit score per account, so outreach only targets companies worth reaching.
Sales Navigator + PhantomBuster + Clay's multi-provider find-people waterfall + custom scrapes locate the right contacts at every targeted account. Then full-profile enrichment runs: headline, summary, publications, work history, verified email waterfall — everything needed to write a message that reads like a human did the research.
Every eligible contact gets a Claude-graded marketing persona classification for the SSO matrix. Persona tags drive message differentiation, channel prioritization, and sequence selection. Trigger detection — job changes, publications, funding events — populated continuously.
By the time the messaging engine runs, every contact already carries enrichment, fit score, and persona classification. The same tags power the SSO matrix and every channel downstream.
When it's time to write an email or LinkedIn message, we don't ask an LLM to “be creative.” We run the SSO Matrix — a context engineering agent that pulls everything relevant about this person, this account, this moment — and assembles a precise context window before the LLM ever sees the task.
Pain points and value props aligned to the ICP and buying persona · enrichment record (trials, publications, funding, news, role context) · recent triggers · message-thread history · brand voice tokens. All assembled, then handed to a static LLM for generation.
Following Karpathy's method
The LLM is a static processor. The intelligence comes from the context engineering — what we pull, what we filter, what we hand it. All the work happens before the model sees the task. That's why every message reads like it was written by someone who knows the recipient's business.
Multi-account LinkedIn automation running across multiple rep profiles. Connection requests, DM sequencing, acceptance tracking, reply classification — all orchestrated through HeyReach. Each rep account warms independently so no single profile gets throttled.
Generated examples — different persona, different message
Dr. Elena Marsh, VP, Chemistry, Manufacturing & Controls at Vireo Therapeutics
David Okonkwo, Senior Director, External Manufacturing & Supply Chain at Northlake Biologics
Connection requests without notes consistently outperform noted ones in accept rate. The follow-up DM — sent only after they accept — is where the personalization lives. By then they've already signaled intent.
HeyReach workspace, rep account access, campaign data, all sequence logic. Sales Navigator identifies the right contacts. BioCreative's classification agents ensure each connection hits the right persona at the right tier.
Purpose-built email sending infrastructure with dedicated warmed domains. Multi-step sequences, real-time tracking, reply webhooks, bounce handling. Every email lands in inbox because the infrastructure is engineered for it — not bolted on.
Generated examples — different persona, different message
Dr. Elena Marsh, VP, Chemistry, Manufacturing & Controls at Vireo Therapeutics
David Okonkwo, Senior Director, External Manufacturing & Supply Chain at Northlake Biologics
Protect your core domain
Pace's primary domain reputation stays untouched. Outreach runs on dedicated domains we build, verify, and warm up over 2-4 weeks before a single cold email sends.
Full DNS + authentication
SPF, DKIM, DMARC, custom tracking domains — all configured from day one. Deliverability monitoring runs continuously. If a domain cools, we rotate.
Land in inbox, not spam
Gradual warm-up cadence, engagement-based send scheduling, bounce suppression, spam trap monitoring. Best practices baked into the infrastructure from day one.
Dedicated BioCreative sending IP
Off-the-shelf senders (SmartLead, Lemlist, Instantly) route through shared IPs sending for hundreds of accounts. Microsoft and Google are increasingly throttling or blocking these IPs at the inbox boundary — placement collapses regardless of your domain reputation.
We send from a dedicated IP we own, used only for BioCreative clients, kept clean by tight quality control across every domain, mailbox, and message. Low-volume, warmed sends only. No links in cold messages. Every send vetted. That's why our deliverability holds where others' don't.
What you own: Sending domains, mailbox seats, all campaign data, sequence logic, reply history.
LinkedIn + Email running off the same enrichment data, same classification, same knowledge graph. Multiple rep profiles per channel. One operator dashboard. Every touch coordinated so a prospect never gets conflicting signals — just consistent, intelligence-grounded outreach from Pace's team.
Each month maps to a wave. Intelligence first, then infrastructure, then activation. Every artifact yours to keep.
Deep research dossiers (18 already complete), ICP definition, account universe mapping across pharma + biotech + CGT developers, competitive landscape, news ingestion stood up. Database schema designed and seeded. Knowledge graph populated with real Pace-relevant signals — segmented by service line and scored by buying moment (phase transitions, funding, Catalent/WuXi displacement).
Delivered: Research dossier set, enriched developer universe segmented by service fit, buying-committee contact records with email + LinkedIn coverage, ICP schema, knowledge graph live, news scraping + scoring active on phase transitions, funding events, and CDMO-displacement signals.
You keep: All data, schema, query layer, refresh runbooks.
Custom React app deployed on a virtual server we provision. Account pages, buying-moment tooling, newsfeed, and message drafting all live in your commercial team's login. Sending domains warmed; HeyReach + EmailBison hardened on our dedicated IP.
Delivered: Custom React UX behind login, virtual server provisioned, GitHub repo populated, warmed sending domains, HeyReach workspace, EmailBison configured, dedicated IP active, third-party APIs integrated.
You keep: Hosting, code, sending domains, mailbox ownership, all workflow configurations.
Multi-channel, relationship-first outreach live. Custom messages generated against the knowledge graph and sent through your dedicated IP, with account-specific hooks per program. Reply classification routes warm conversations to your BD team. Pipeline reporting live in the UX.
Delivered: Live LinkedIn + email campaigns, AI-drafted sequences per persona, warm-intro-path mapping, reply handoff workflow, pipeline dashboard updated, first qualified conversations booked.
You keep: Campaign data, message history, agent prompts, sequence logic, reply records.
Quarterly tune-ups, pre-event intelligence sprints ahead of the conferences your team attends (MassBio, CPhI, AAPS, bioprocessing), database refreshes, and the option to layer on either upstream marketing amplification (content, scientific comms, SEO, paid) or downstream sales pipeline (Gold Sheets, Pipeline, Blue Sheets) on top of the core system.
Both build on the same database, the same knowledge graph, the same brand system the core launch delivers. Both are scoped separately, activated when ready — not part of the core engagement, but built to plug straight into it.
Once the core engine is running, the same knowledge graph + brand system + database powers everything upstream — company social presence, executive thought leadership, search and AI-citation visibility, paid amplification, web optimization, and live calling. Marketing-owned, harder to track, but the connective tissue that makes outbound feel like a known voice.
We've already scraped Pace's brand — colors, fonts, layout patterns — directly from pacelabs.com. This page is the proof. Every asset we produce downstream matches your visual identity without manual design work.
LinkedIn company, X, Instagram, Threads, Bluesky, blog, newsletter. AI-generated social assets with image and video generation. News-driven concept generation matched back to Pace's core thought principles. Brand Voice Guardian scores every output before it ships.
Tracked end-to-end: engagement on company posts feeds back into the knowledge graph as triggers and targeting signals.
Founder, scientific leader, and executive voice across LinkedIn personal, conferences, partnership outreach, investor updates, analyst notes. Same knowledge graph, same brand system — but a different voice and surface.
CCC connection: Engagement on personal posts is tracked at both the person level and the account level — engaged followers who match ICP become outreach targets automatically.
Google Analytics 4 + Search Console + AI citation tracking. Every asset keyworded and position-tracked. Pace shows up in traditional search and in AI-generated answers (Generative Research Optimization).
CCC connection: blog posts, social assets, and backlinks from the Content Command Center compound into your search and AI citation presence.
Using the same intelligence, brand system, and tools that built this page, we help Pace create comprehensive, interactive, on-brand HTML assets — landing pages, product pages, microsites — informed by market data and kept up to date through our tooling.
LinkedIn Ads, Google Ads, Meta Ads, programmatic display, retargeting — all powered by the same ICP classification and enrichment data. Target the exact accounts your outreach is hitting with awareness ads that reinforce the message across every surface.
Dedicated calling team executing to high-value prospects identified by your enrichment pipeline. Direct conversations with people in real labs, real offices, real procurement teams. Market research, voice-of-customer intelligence, and live prospect feedback flow back into your knowledge graph alongside pipeline opportunities.
All built on the same knowledge graph, brand system, and database the core engagement delivers. Engaged after Wave C.
Pace sells a complex, multi-stakeholder, long-cycle service — exactly the kind of sale Miller Heiman strategic selling was built for. Once conversations start landing, the same back-end becomes the engine for managing pipeline, qualifying opportunities, and supporting your BD team in every meeting.
The account-level page in your UX is the Gold Sheet: full enrichment, news, contacts (scored + persona-tagged across CMC, analytical, supply chain, quality, and regulatory), service-fit notes, positioning, and campaign history across LinkedIn and email — evergreen, updated as programs advance and displacement signals fire. Built during Launch.
When a Gold Sheet matures into a real opportunity (timeline, program scope, qualification), it becomes a pipeline record. Map every buying-decision contact across the long CDMO cycle (economic / user / technical / coach), track interactions, integrate with Salesforce, HubSpot, Pipedrive or Zoho, and ingest meeting transcripts so the picture stays live.
Before every key meeting, the system generates a Blue Sheet: who's in the room, their place in the buying decision, full prior-engagement history, mapped pain points (Tier-1 rigidity, supplier concentration, analytical-to-manufacturing hand-offs), prepared responses, goals for the meeting, and next-step recommendations. Pulled from the knowledge graph in real time.
Like the marketing channels above, these are downstream additions to the core launch — not separate builds. The infrastructure is already there; we activate it as your sales motion matures.
Code, data, prompts, dashboards, infrastructure — all transferred to Pace at handoff. We don't run an “AI black box” you keep paying us to operate. What we hand back is yours, the same way Pace hands customers a real platform they own outcomes on.
Everything on this page is built specifically for Pace. The intelligence is already underway. The infrastructure is ready to deploy. One conversation to scope it.
— Brian Elbert, BioCreative Strategies
brian@biocreativestrategies.com