BioCreative Strategies
A custom React app, your own SQL database, a knowledge graph of every VP and Director of R&D, Discovery, and Data Science at pharma and biotech companies — multi-channel outreach across LinkedIn and email — and a foundation that scales as ASCEND expands across the biopharma landscape.
Everything on this page is built specifically for BenchSci. The intelligence is live. The infrastructure is ready to deploy.
The BioCreative Launch program builds BenchSci's complete commercial system in three overlapping waves — research and knowledge graph first, then the database + UX + sending infrastructure, then live activation across LinkedIn and email. Every artifact is yours to keep.
Deep market research, ICP refinement targeting VP/Director-level R&D decision-makers (Heads of Discovery, VP Translational Medicine, Directors of Data Science, VP Computational Biology). Account universe mapped across mid-to-large pharma and biotech. Competitive landscape analyzed against CAS, Elsevier, Palantir Foundry.
Postgres database seeded with ICP accounts and enriched contacts. Custom React dashboard deployed, sending domains warmed, HeyReach + EmailBison configured on dedicated IP. Built in BenchSci's brand, behind your team's login.
Multi-channel outreach live targeting pharma/biotech R&D leadership not yet using ASCEND. Custom messages leveraging BenchSci's strong research content as outbound hooks. Reply classification active. Pipeline reporting live. Meetings booked.
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 BenchSci'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 BenchSci'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 BenchSci'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 BenchSci'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.
Key target account making massive AI infrastructure investment. Their former CSO Mikael Dolsten is on BenchSci's advisory board — a warm-intro path exists. Outreach can reference the investment and position ASCEND as the evidence layer their AI workflows need.
Market validation signal for BenchSci's approach. Can be used in outreach as social proof that the market is moving toward evidence-linked knowledge graphs — positioning BenchSci as the first-mover with 400M+ entities already mapped.
Two real items pulled and scored this week. The system runs continuously — you see every signal that matters, nothing that doesn't.
18 research dossiers covering BenchSci's competitive positioning, buyer universe, and expansion opportunity across biopharma R&D. Three highlights below.
Competitors like Recursion, Insilico Medicine, and Atomwise focus on molecular screening and target identification. CAS SciFinder and Elsevier's knowledge platforms are search-based, not evidence-linked. BenchSci's Biological Evidence Knowledge Graph (400M+ entities, 1B+ relationships) occupies a unique position — the evidence infrastructure layer that supports every other AI workflow.
Pfizer, Roche, Novartis, AstraZeneca, Sanofi, J&J, Merck, GSK, Takeda, and others have all publicly announced AI-native R&D strategies. These companies need evidence infrastructure to feed their AI workflows — BenchSci's exact value proposition. Our database covers Director+ contacts at all of them.
BenchSci's advisory board connections and published case studies skew Top-20 pharma. But the mid-market biotech segment — companies with $50-500M in funding, active Phase I/II programs, and growing R&D teams — is adopting AI platforms faster than enterprise. Our database includes 2,400+ companies in this exact segment.
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 BenchSci'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. James Liu, VP Discovery & Translational Sciences at Moderna
Priya Sharma, Director R&D Data Science & AI at AstraZeneca
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. James Liu, VP Discovery & Translational Sciences at Moderna
Priya Sharma, Director R&D Data Science & AI at AstraZeneca
Protect your core domain
BenchSci'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 BenchSci's team.
Each month maps to a wave. Intelligence first, then infrastructure, then activation. Every artifact yours to keep.
Deep research dossiers, ICP refinement across pharma R&D decision-makers, TAM mapping (mid-to-large pharma + funded biotech), competitive positioning vs. CAS/Elsevier/Palantir, content audit of BenchSci's knowledge center for outbound hooks.
Delivered: Research dossier set, enriched account universe, contact records with email + LinkedIn coverage, ICP schema, knowledge graph live, news scraping + scoring active.
You keep: All data, schema, query layer, refresh runbooks.
Custom React app deployed. Account pages for pharma R&D targets, campaign tooling, newsfeed (AI/drug-discovery news scoring), message drafting. Sending domains warmed; HeyReach + EmailBison configured.
Delivered: Custom React UX behind login, virtual server provisioned, GitHub repo populated, warmed sending domains, HeyReach workspace, EmailBison configured, dedicated IP active.
You keep: Hosting, code, sending domains, mailbox ownership, all workflow configurations.
Multi-channel outreach live targeting VP/Director R&D at pharma and biotech. Custom messages leveraging BenchSci's research content and advisory board connections. Reply classification routing leads to reps. Pipeline reporting live.
Delivered: Live LinkedIn + email campaigns, AI-drafted sequences per persona, reply handoff workflow, pipeline dashboard updated, first meetings booked.
You keep: Campaign data, message history, agent prompts, sequence logic, reply records.
Quarterly tune-ups, pre-event intelligence sprints (BIO, JPM, ASCO), database refreshes, and the option to layer on ABM amplification for top-tier pharma accounts or downstream strategic-selling pipeline 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 BenchSci's brand — colors, fonts, layout patterns — directly from benchsci.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 BenchSci'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. BenchSci 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 BenchSci 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.
Once meetings start landing, the same back-end becomes the engine for managing pipeline, qualifying opportunities, and supporting reps in every meeting. Built on Miller Heiman strategic selling — proven in complex enterprise sales to pharma R&D.
The account-level page in your UX is the Gold Sheet: full enrichment, news, contacts (scored + persona-tagged), positioning notes, campaign history across LinkedIn and email — evergreen, updated as the world moves.
When a Gold Sheet matures into a real opportunity (timeline, budget, qualification), it becomes a pipeline record. Map every buying-decision contact (economic / user / technical / coach), track interactions, 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, prepared objection responses, goals for the meeting, next-step recommendations.
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 BenchSci 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 BenchSci hands customers a real platform they own outcomes on.
Everything on this page is built specifically for BenchSci. The intelligence is already underway. The infrastructure is ready to deploy. One conversation to scope it.
— Brian Elbert, BioCreative Strategies
brian@biocreativestrategies.com