Introducing the next phase of Life Sciences Intelligence
The breakthrough in Vertical AI comes at a crucial inflection point for Life Sciences. Teams are drowning in exponentially growing data volumes, but can't rely on generic AI to extract accurate insights. These systems hallucinate in up to 27% of outputs, and organizations can't risk uncertainty when decisions directly impact patient outcomes and safety.
At Sorcero, this challenge has inspired our mission from the start - to develop the most advanced Life Sciences AI, functioning not simply as another tool or data repository but as a true engine for Life Sciences intelligence.
The Sorcero Intelligence Platform has transformed how Life Sciences find and leverage insights critical to driving their most important work – from identifying unmet patient needs to assessing the impact of KOL engagement efforts.
But this vertical AI foundation is just the start. Building on Sorcero’s industry-specific ontologies, medically-tuned large language models (LLMs), and instant insights, this release introduces the next phase of intelligence at Sorcero.
Introducing the Agentic Framework
AI agents now available in the Sorcero Intelligence Platform
Today, we're excited to introduce the Sorcero Agentic Framework, a breakthrough in medical AI that transforms how organizations turn siloed data into analysis-ready insights. Unlike traditional AI that simply responds to queries, the Agentic Framework deploys specialized agents — purpose-built AI “workers” each performing a specific function — that actively collaborate like a coordinated, high-functioning medical team. With each agent handling a unique task and leveraging the latest AI models, the Agentic Framework delivers new levels of speed, accuracy, and depth of AI output.
Like the rest of Sorcero’s AI functionality, these agents are tuned specifically for life sciences and operate using Sorcero's powerful knowledge graph, which incorporates multiple repositories of drug landscape and medical data into one unified system. The entire process—from data retrieval to analysis to outputs—is life sciences specific, creating an expanding capability gap that generic AI tools or building in-house simply cannot bridge.
- ReAct Agent: Central orchestration agent that controls workflows and processes. Manages transitions between different steps.
- Data retrieval agent: Fetches and unifies data from different sources including drug databases, biomedical literature, enterprise data, and more.
- Ingestion agent: Handles data cleaning, normalization, and validation before data is searchable
- Tool selector: Selects which tool is needed for data retrieval, and plans how the agent retrieves data using search, synonym matching, and keyword matching.
- Reranking agent: Scores information and assigns different weights to data sources based on relevance.
- Summary generator: Creates cohesive and concise summaries of data based on the original query.
- Hallucination check agent: Ensures responses are accurate by grounding and validating answers in source data
How the Agentic Framework Surpasses Traditional LLMs
To illustrate the power of the Agentic Framework when compared to traditional LLMs, consider this question: "What is the prevailing KOL opinion on <our drug>?"
An LLM would tackle this question in a single "run" – simultaneously finding data, analyzing information, formulating an answer, and retrieving supporting sources. This forces the LLM to distribute its computational power across all tasks at once, limiting its ability to comprehensively search every relevant source and develop a highly detailed answer.
Approaching this same query, Sorcero’s Agentic Framework would instead deploy agents to take on each specific task.
- Multiple agents determine which data sources to use, and how to use them – intelligently ranking answers based on relevance and reliability. For KOL sentiment analysis, these agents may examine published literature, conference proceedings, and even relevant social media activity.
- Then, various validation agents employ a vigorous review and approval process to check for hallucinations and ensure data is always grounded in real evidence.
- Finally, specialized synthesis and summary agents transform these validated insights into clear, actionable answers — eliminating the need for complex reports or dashboards that require additional interpretation.
Benefits of the Agentic Framework
By executing queries through a coordinated network of specialized agents, the Agentic Framework:- Delivers more thorough outputs as each agent dedicates its full computational power to a single task
- Why this matters: Teams get insights that draw from the full evidence landscape, enabling even stronger strategic decision-making
- Why this matters: Teams get insights that draw from the full evidence landscape, enabling even stronger strategic decision-making
- Uncovers deeper industry insights through domain-specific agents specialized in areas from clinical trials to regulatory requirements
- Why this matters: In-house experts can augment their vast knowledge with high-value insights
- Ensures unparalleled accuracy with dedicated agents for verification, attribution, and hallucination prevention
- Why this matters: Teams can have confidence that insights are based on real evidence and not “made up” by the AI tool.
- Provides more personalized information with dynamic prompt agents that understand your role and cater outputs accordingly
- Why this matters: Different stakeholders receive exactly the information they need in the format that works best for them
The Agentic Framework is immediately available as part of the Sorcero Intelligence Platform. Learn more about the new Agentic Framework here.
Instant Insights EngineTM on Healthcare Professional (HCP) Pages
For Medical Affairs teams, educating and engaging with Healthcare Professional (HCP) is at the cornerstone of a successful Medical Affairs strategy. But historically, teams often struggle to quickly understand individual HCPs when preparing for high-value scientific exchanges. With valuable data scattered across advisory boards, congresses, publications, and more, teams can’t maintain a comprehensive view of each relationship.
Rapidly surface HCP-specific Insights
In this release, we’ve added Sorcero Instant Insights EngineTM directly into HCP profiles, transforming how teams prepare for and manage their most important stakeholder relationships. By bringing AI-powered insights directly to HCP profiles, we're making it easier than ever to deliver personalized, impactful engagement that advances your scientific strategy.
With Instant Insights Enginge embedded in HCP pages, teams can now:- Ask simple language questions about specific HCPs and instantly receive comprehensive, evidence-backed answers that directly link to sources
- Prepare for engagements more effectively by quickly understanding an HCP’s scientific perspective, recent activities, and interests
- Access a complete relationship history drawing from all interactions, publications, and events specific to that HCP
- Identify opportunities for personalized engagement based on the HCP’s unique scientific interests
For MSLs managing dozens of HCP relationships, this embedded intelligence transforms preparation time from hours to minutes. Teams can quickly leverage Instant Insights Engine to confidently answer any questions about their HCPs, knowing they have the full context of the relationship at their fingertips.
Faster Time from Unstructured Data to Insights
Despite having access to more information than ever before, life sciences teams struggle to extract value from their most content-rich sources, such as presentations, PDFs, and notes, because doing so requires tedious manual effort.
While Sorcero has handled unstructured data from the start, in this release, we’re introducing two powerful features that enhance Sorcero’s ability to transform unstructured content into analysis-ready data:
- Ingestion Agent: Part of the Sorcero Agentic Framework, the ingestion agent automatically cleans, normalizes, and validates data – accelerating the process for extracting unstructured data. For teams managing large volumes of files, the ingestion agent provides faster time-to-insight with less operational overhead.
- Document Extraction: With enhanced AI processing capabilities, Sorcero now transforms complex presentations and long-form content in minutes rather than hours. The Sorcero platform intelligently identifies key findings, extracts tables and figures, and contextualizes information within your existing knowledge base.
By unlocking valuable information from unstructured sources, Sorcero helps organizations capture the complete picture. These capabilities deliver immediate value across multiple teams:
- For Medical Affairs: Quickly process advisory board transcripts and congress presentations to identify emerging scientific trends
- For Field teams: Extract insights from meeting notes that would otherwise remain trapped in local files or CRMs
Contact the Sorcero team to learn more about these updates and how they can accelerate your organization’s insight discovery process.
Sources:
https://www.nytimes.com/2023/11/06/technology/chatbots-hallucination-rates.html
