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7 minute read
Sagan Agents is ZoomRx's agentic operating system for life sciences market research. It coordinates three purpose-built modules, Data Archive Intelligence, Agentic Market Research, and Strategic Insights Agents, into one continuous intelligence loop. Instead of running a single chatbot against your files, Sagan Agents routes each request to the right agent, pulls from your own research archive and ZoomRx's proprietary pharma data, and returns a deliverable-ready answer in hours or days, compared with the 6-8 weeks a traditional study takes.
It's built by ZoomRx, a strategic life sciences consulting firm with over 15 years of dedicated life sciences experience, and it's designed for the people who commission and use pharma insights every day: brand teams, medical affairs, market access, and commercial strategy groups.
Why Pharma Insights Teams Need an Agentic Operating System
Most pharma organizations run insights the same way they did a decade ago, and the same problems keep showing up:
- Every question starts a new project, at a real cost. Brands typically spend $1 to $5 million or more per year on primary market research, and most of that work sits in a slide archive that's never queried again. Six months later, someone asks a similar question and the whole process restarts from zero.
- Cycle times don't match how fast the market moves. A typical study takes 6-8 weeks from research question to final deck. By the time the deliverable arrives, the competitive landscape has often already shifted.
- A large share of research questions have already been answered. An estimated 35 to 45% of the questions asked in a typical research project have already been answered in some form in past studies, just not in a place anyone thought to look.
- General-purpose AI tools weren't built for this workflow. A chatbot can summarize a PDF you upload, but it has no memory of your brand's history, no access to your organization's past studies, and no domain-specific understanding of how pharma commercial teams structure a segmentation, a message test, or a KOL map. (We go deeper on this specific gap in why generic AI tools fall short for pharma market research.)
Sagan Agents was built specifically to close these gaps at once, which is why it's described as an agentic operating system rather than a single AI tool.
To put a number on it: one common scenario is commissioning a competitive audit from one vendor (about 4 weeks), a pulse survey from a second vendor (about 6 weeks), and a claims analysis from a third (about 3 weeks), then assembling all of it into a single deck (about 2 more weeks). That adds up to roughly 8+ weeks along the critical path (vendors working in parallel), 3 vendors, and $500K or more for one round of answers. The same set of questions inside Sagan Agents, across the Data Archive and Agentic Market Research, can come back in about 24 hours, from one platform and one login.
Fast, Affordable, and Rigorous: Ending the Trade-Off
Traditional pharma insights work has always forced a trade-off. Research could be fast, or affordable, or rigorous enough to trust, but rarely all three at once. Sagan Agents is built specifically to end that trade-off, with each module solving for one side of it without giving up the other two:
- Fast: Agentic Market Research designs, fields, and analyzes new research in days instead of the usual 6-8 weeks.
- Affordable: Data Archive Intelligence turns research your organization already paid for into new answers at no additional cost.
- Rigorous: Strategic Insights Agents encode your own specialists' methodologies, so every question gets the same scrutiny an expert-led project would, even the ones that would otherwise sit in a backlog.
How the Agentic Operating System Coordinates Multiple AI Agents
The agentic operating system coordinates multiple specialized AI agents, each handling a distinct task, through a practice called AI agent orchestration, so they work together on a multi-step process rather than relying on one general model to do everything. Gartner has projected that 40% of enterprise applications will feature task-specific AI agents by 2026, up from under 5% in 2025, as more organizations move from single-purpose AI tools to coordinated agent systems (Gartner, August 2025).
Inside Sagan Agents, this happens through a single orchestrator agent and a library of 100+ reusable skills, things like designing a screener, cleaning claims data, analyzing transcripts, designing sales territories, or building a PowerPoint deck. When a team describes a workflow, the orchestrator composes the right skills and sub-agents into a transparent, step-by-step roadmap, then carries out the work while keeping context across every step. A user can go back and change a decision partway through, and the orchestrator picks the workflow back up without starting over. Because a new agent inherits most of what it needs from the existing skills library, most workflows can be turned into a working agent in days rather than built from scratch.
Applied to pharma insights, that means Sagan Agents doesn't hand every request to the same model. A question about a past study gets routed to Data Archive Intelligence. A request for a new patient journey study gets routed to Agentic Market Research. A segmentation or forecasting task gets routed to a Strategic Insights Agent built for that specific workstream. Each module draws on the same underlying data foundation, so the answers stay consistent no matter which one handles the request.
How Sagan Agents Works: Three Modules, One Continuous Loop
Data Archive Intelligence
Affordable. This module ingests your organization's existing research, decks, reports, claims data, CRM records, and more, and makes all of it queryable in plain language. Ask a question across years of accumulated studies and get a citation-backed answer instead of a manual search through old files. It's also how a team can spot a research gap before commissioning a new project instead of after.
Agentic Market Research
Fast. This module takes a business question from design through fielding, analysis, and a finished deliverable. Research can field to ZoomRx's proprietary HCP and patient panels for real-respondent depth, or to synthetic audiences when speed or budget calls for it, with AI-moderated interviews and conversational surveys blending qualitative depth with quantitative scale either way. New research this way is designed, fielded, and analyzed in days rather than weeks.
Strategic Insights Agents
Rigorous. This module is a library of purpose-built agents for specific insights workstreams, including message testing, TPP testing, behavioral and attitudinal segmentation, qualitative analysis, cross-study synthesis, brand health, promotional effectiveness, competitor pipeline monitoring, conference coverage, and synthetic personas. Each agent encodes a specific methodology, so a team can run expert-grade analysis without needing a specialist available for every request. If a workflow doesn't already have an agent, the team describes it and ZoomRx builds one from the existing skills library.
The loop closes automatically: results from Agentic Market Research flow back into the Data Archive, which sharpens every future Strategic Insights Agent query, which means the platform gets more useful the more a team uses it instead of starting fresh every time. (Our post on AI agent orchestration and how Sagan Agents turns reusable skills into workflows covers this mechanic in more depth.)
Built on 15+ Years of Life Sciences Data
Sagan Agents isn't a general-purpose model pointed at a folder of files. It runs on a foundation ZoomRx has built over more than 15 years of pharma-focused market research:
- 100+ leading biopharma companies work with ZoomRx
- 60K+ proprietary HCP and patient panel members
- 700M+ proprietary benchmark datapoints
That domain-specific foundation is what allows the platform to understand pharma-specific concepts like patient share of voice, rep effectiveness, and KOL sentiment out of the box, rather than needing them explained from scratch in every prompt.
Who Uses Sagan Agents
- Brand teams use it to track messaging pull-through, monitor competitive positioning, and get answers on patient share of voice without commissioning a new study for every question.
- Medical affairs teams use it to pull MSL insights and KOL sentiment out of existing research and conversations already sitting in their archive.
- Market research and insights teams use it to run segmentation, message testing, and advisory board follow-up work faster, and to identify where a data gap actually requires new primary research versus where the answer already exists.
- Commercial and launch teams use it for launch excellence and go-to-market questions that need to move faster than a traditional 6-to-8-week study allows.
How Sagan Agents Fits Into a Broader Research Program
Sagan Agents is designed to sit underneath a team's full research program rather than replace it. Every ZoomRx engagement, including Marketing Asset Testing, Promotional Effectiveness Tracking, Awareness Trial & Usage (ATU) brand tracking, Patient Scribe chart audits, and HCP-Patient Conversations, feeds back into the same Data Archive. That means a team's research foundation gets richer with every project it runs, whether or not that specific project touched Sagan Agents directly.
Getting Started
For existing ZoomRx clients, Data Archive ingestion typically takes days, since existing research is already in formats the platform understands, and the archive is live and queryable within weeks of kickoff. New research through Agentic Market Research can be designed, fielded, and analyzed within days. Sagan Agents is also built with pharma procurement and data governance requirements in mind, including SSO integration, role-based access controls, audit logging, and bring-your-own-API-key deployment. (More on this in AI governance and evidence trails in life sciences research.)
ZoomRx is currently running a no-cost pilot, free through December 2026, structured in tiers:
- Always free: full access to Data Archive Intelligence, populated from a team's existing ZoomRx research archive, plus self-upload for additional reports, qual transcripts, and internal documents. Nothing is required to start.
- Free after sharing qualitative data: Synthetic Personas, the Message Testing agent, and Agentic Market Research run against synthetic audiences, up to one study a week, up to 250 respondents.
- Available paid: real-respondent research fielded to ZoomRx's HCP and patient panels, the full Strategic Insights Agents suite, and custom enterprise configurations, quoted per brand or indication.
See Sagan Agents on Your Own Data
The fastest way to understand what an agentic operating system can do with your team's existing research is to run it against your own data. Visit the Sagan Agents page to see the full platform, or use the form below to start a conversation with our team about a pilot.
Frequently Asked Questions
