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Research & Chat

Deep research,every claim cited.

Ask Sofie a hard question and it researches across your workspace files, regulatory sources and the web. Every statement links back to where it came from.

Larkspur Biologics · Chat

HT-7 hold-time support

Deep research
What does FDA expect for intermediate hold times, and does our HT-7 data support the protocol limit?
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Inregulatedwork,ananswerwithoutasourceisaliability.Sofieshowsyouwhereeachclaimcamefrom,andtellsyouplainlywhentheevidenceisn'tthere.

Capabilities

What Research & Chat does

  1. 01

    Deep research

    Sources drawn from your workspace, nine regulatory authorities and the web, with every claim cited.

  2. 02

    Citations you can check

    Inline citation bubbles and a sources panel with the passage behind each claim. Missing evidence is named, not filled in.

  3. 03

    Sixteen models and Auto

    Models from Anthropic, OpenAI, Google, Meta, xAI, Moonshot AI and Z.ai. Auto routes each request to a fast, balanced or deep model.

  4. 04

    Plan mode

    Turn on Plan Mode and Sofie lays out a step-by-step plan before it acts. Adjust it in the chat, then execute.

  5. 05

    Edit and branch

    Edit an earlier message, or branch the conversation into a new chat to try another approach. Search past conversations and keep long chats summarized.

  6. 06

    File Studio and Sofie Guide

    Edit PowerPoint files in File Studio, generate images and interactive visuals, and ask Sofie Guide how anything in the platform works.

Sofie Everywhere

On every page, one question away.

The Sofie sidebar stays with you across the platform. Ask why an orchestration pauses where it does, what changed in a tracker, or how to set something up, without leaving the page you are on.

Orchestrations · Batch Record Review

Orchestration

Intake agent
Batch record reviewer
QA review point
Summary author

Sofie

Why does this pause at the QA step?

The QA review point holds the run until a reviewer confirms the deviation list before the summary is drafted.

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Models

Every leading model. One place to use them.

Choose a model for the task, or leave it on Auto. Auto sends quick lookups to a fast model and hard reasoning to a deep one, and its life-sciences safety minimums send consequential work, such as regulatory or quality judgments, to a deep model.

  • Anthropic Claude, OpenAI GPT and Google Gemini
  • Meta Muse Spark, xAI Grok, Kimi and GLM
  • Auto and the leading models also power orchestration agents
Model

Auto

Routes each request to a fast, balanced or deep model, with life-sciences safety minimums for consequential work.

Recommended

Anthropic

  • Claude Fable 5.1
  • Claude Opus 5.5
  • Claude Sonnet 5.5
  • Claude Haiku 4.5

OpenAI

  • GPT-6 Astra
  • GPT-6.1 Sol
  • GPT-5.6 Terra
  • GPT-6 Luna

Google

  • Gemini 3.1 Pro
  • Gemini 3.8 Flash
  • Gemini 3.5 Flash Lite

Meta

  • Muse Spark 1.2

xAI

  • Grok 4.6

Moonshot AI

  • Kimi K2.6

Z.ai

  • GLM 5.3
  • GLM 5.3 Flash

Plan and branch

Agree the plan. Then execute it.

With Plan Mode on, see how Sofie intends to approach a gap assessment across forty documents before it starts. Change the scope in the chat, then execute. For a second angle, branch the conversation into a new chat.

LB-204 · Hold-time gap review
Before you start, show me the plan for the hold-time gap review.

Plan

Plan Mode
  1. 1.Read the transfer protocol and the sending site's hold-time studies
  2. 2.Pull the receiving site's equipment list and cleaning SOPs
  3. 3.Compare hold times and cleaning limits against the protocol
  4. 4.Draft a gap summary with citations as a CoDraft
Execute
Branched from LB-204 · Hold-time gap review

From answer to deliverable

Open the answer as a document.

When the research is right, open it as a CoDraft with the citations carried through, and keep working with your team in a Word-faithful editor.

Larkspur Biologics · CoDraft
LB-204 Tech Transfer Charter.docx
ARMK
Share
Review
SuggestingAccept

Tech Transfer Charter · Controlled

LB-204 Drug Substance Transfer

Version 0.4 · Draft for QA review

3. Scope of Transfer

This charter governs the transfer of the LB-204 upstream and downstream process from Larkspur Biologics, Cambridge (sending site) to {Receiving site} (receiving site). The transfer covers the 2,000 L fed-batch process through drug substance release, including fill-finish operations.

4. Roles and Responsibilities

5. Process Overview

“What used to take me half a day searching through guidances and cross-referencing documents, Sofie handled in seconds. The answer was there; the references were there; nothing left to chase down.”
VP, Quality & Regulatory Affairs

Questions

Frequently asked

Which models can we use?

Sixteen models: Claude Fable 5.1, Opus 5.5, Sonnet 5.5 and Haiku 4.5; GPT-6 Astra, GPT-6.1 Sol, GPT-5.6 Terra and GPT-6 Luna; Gemini 3.1 Pro, 3.8 Flash and 3.5 Flash Lite; Muse Spark 1.2; Grok 4.6; Kimi K2.6; and GLM 5.3 and 5.3 Flash. Auto is the default.

How does Auto choose a model?

Auto routes each request to a fast, balanced or deep model based on what it needs, and its life-sciences safety minimums send consequential work to a deep model. Choose a specific model whenever you prefer.

What does Sofie do when it can't find a source?

It says so. Sofie names the gap rather than filling it from memory, so you know what still needs evidence.

Is our data used to train models?

No. Customer content is used to do your work, and no model is trained on it.

Start with one workflow.
Measure it. Then expand.

In a working session we choose a priority workflow, define your standards and review points, and agree how to measure speed, quality and capacity. Then you evaluate Sofie's work before deciding whether to expand.