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Hi! I'm Sleuth Copilot,your biopharma research assistant.

I can help you analyze clinical trials, understand drug mechanisms, explore competitive landscapes, and more.

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PD-L1 × VEGF landscape: post-HARMONi-2 moves was completed
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Phase 1 & 2a clinical trials for NSCLC was completed
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Auto-inflammatory landscape: key assets was completed
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Version: v1
A — @IntersectionB — @WhyC — @De-riskedD — @ConfidenceE — @Key assets
Masked CD3 TCEsTargets off-tumor toxicityCD3 TCE validatedHighDR510, WTX-1011
Logic-gated AND designsClean-TAA durability gapCD3 redirection validatedMediumSEECR-T, ZW209
CD16A innate engagersAFM24 tolerability signalCombination strategiesMediumAFM24, GTB-3550
BCMA × GPRC5D bispecificsBetter vs teclistamab monoDual-antigen de-riskedHighAlnuctamab, ABBV-383
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T-Cell Engagers (TCEs)
Completev2
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Whitespace × de-risking
Completev2
Updated 2h ago
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Whitespace, post-Pfizer
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Q3 TCE Landscape Summary
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Asset Distribution by Modality
SM
Cell
Ab
ADC
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Key Findings
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Q3 TCE Landscape

Small molecule leads the modality mix

Asset distribution across 5 modalities

n = 1,247
Small Molecule
Cell Therapy
Ab / Bispecific
ADC
Degrader
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Your team’s strategic analysis environment

Your projects, datasets, and insights live in one place. Always current, always ready to iterate.

Your analytical home base

Ask complex biopharma questions in plain language. Receive structured, evidence-backed analyses built on the Sleuth platform.

Eliminate data wrangling

Get structured datasets bespoke to your questions. Refine them without new data dumps.

Trace every conclusion to source

Click any data point to see the underlying evidence, from FDA labels to clinical publications.

Analyses that evolve with you

Refine, update, and steer your work as new evidence emerges or your questions sharpen.

Presentation-ready from the start

Charts, summaries, and structured views you can drop straight into a deck — no reformatting required.

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Sleuth CONCIERGE

Embedded,
Not outsourced.

For high-stakes decisions where human judgment matters — an analytical
team that works inside the Sleuth platform alongside yours. Without six-week timelines or seven-figure invoices.

Capacity on demand.

When the board wants a new landscape by end of week or a diligence window opens overnight, Sleuth scales your team immediately.

No handoffs.

Sleuth doesn’t deliver a deck and disappear. You’re in the room — scoping together, pressure-testing assumptions, redirecting as questions sharpen.

Defensible decisions.

Billion-dollar decisions require human judgment. Sleuth's biopharma analysts deliver opinionated, board-ready work — not a data dump with a disclaimer.

No ramp-up.

Traditional consulting spends most of its time gathering context and cleaning data before the real thinking starts. Sleuth skips that step and goes straight to strategizing.

Case study

Shaping a decade
of growth

Daiichi Sankyo

Sleuth delivered a comprehensive peer benchmarking analysis in days. Every competitor's pipeline classified by modality, target, and stage. Interpreted in the context of Daiichi Sankyo's strategy.

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Example Concierge Deliverables

In-Vivo Cell Therapy Intelligence Report, Q3 2026

332 in-vivo cell therapy programs mapped across delivery architecture, targets, and geography. Covers the lentiviral vs. LNP-RNA split, CD19 and BCMA crowding, $12B in deal value, China's 161-program field, early human proof, and predictions.
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Data visualization for GLP-1 and Metabolic Intelligence Report, Q3 2026

GLP-1 and Metabolic Intelligence Report, Q3 2026

628 programs across phase and geography, injectable vs. oral benchmarks, combination strategies and muscle-sparing approaches, real-world persistence data, China's fast-follower surge, and near-term catalysts.
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Data visualization for China Biopharma Landscape: 18,000+ Assets, 335 Deals, and Where the Gaps Are

China Biopharma Landscape: 18,000+ Assets, 335 Deals, and the Gaps

The translation gap, not the innovation gap, is the binding constraint. 18,000+ Chinese assets, 335 out-licensing deals since 2021, and ~$18B in disclosed upfronts.
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Sleuth MCP / API

Plug into the intelligence layer.

Access Sleuth's knowledge base, structured datasets, and analytical capabilities programmatically. Build biopharma intelligence into tools that your team already uses — Claude, ChatGPT, and your own agents.

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Which ADC programs are targeting the same antigen as ours, and how differentiated is our linker-payload?
just now
SGet dataset▾
Count rows in the CSV▾
Ran a command, used Sleuth MCP integration
Got it — 16 programs across 11 columns. Confidence and a fact/interpretation flag come back per cell, so you can see which calls are sourced and which are inferred. HER2 ADC Landscape — Linker-Payload Differentiation (16 rows × 11 columns) Scope: HER2-directed ADCs in Phase 3 or approved. Excludes discontinued.
her2_adc_landscape.csv
asset_namesponsorstagelinker_payload dardifferentiation_vs_oursevidence
EnhertuDaiichi Sankyo / AstraZenecaApprovedCleavable GGFG tetrapeptide–DXd8.0Same payload class and linker; DAR 8 carries the ILD signalDemonstrated
KadcylaRocheApprovedNon-cleavable MCC thioether–DM13.5Non-cleavable, so no bystander kill in HER2-lowDemonstrated
RC48RemeGen / PfizerApproved (CN)Cleavable mc-Val-Cit–MMAE4.0Auristatin payload; no topo-1 cross-resistanceDemonstrated
SHR-A1811HengruiApproved (CN)Cleavable GGFG–SHR1692656.0Nearest topo-1 comparator; DAR 6 rather than 8Demonstrated
A166Kelun-BiotechApproved (CN)Cleavable Val-Cit–Duo-52.0Beat T-DM1 in Phase 3; positioned post-topo-1 ADCDemonstrated
DB-1303DualityBio / BioNTechPhase 3Cleavable GGFG–P10038.0Closest architectural analogue; China BLA acceptedReported
BL-M07D1Sichuan BailiPhase 3Cleavable cathepsin B–Ed-048.0DAR 8 topo-1; randomised head-to-head vs T-DM1Reported

Your tools, Sleuth data

Sleuth works in Claude, ChatGPT, and your other agents. Use Sleuth data alongside your internal context (which stays private).

Datasets, not web searches

Most AI tools build landscapes with unreliable web searches. Sleuth gives you datasets that are complete and tailored to your context.

Recurring workflows

Power weekly competitive newsletters, automated pipeline scans, and more. Running on your cadence, not manually.

Deploy in minutes

Turn on the connector and start querying. Everything you build is mirrored in your Sleuth Studio account for when you want to go deeper.

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Every team works differently. Book a demo and we’ll walk through Studio, Concierge, and API to find the right set up for your company’s stage and how your team makes decisions.

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