Skip to contentSofie Regulatory Intelligence: nine regulators, one place, updated every day.

Research & Chat

Deep research,every claim cited.

Ask Sofie a hard question and it researches across your workspace files, regulatory sources and the web, reading up to 24 sources for a single answer. 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?
Ask a follow-up…

Inregulatedwork,ananswerwithoutasourceisaliability.Sofieshowsyouwhereeachclaimcamefrom,andtellsyouplainlywhentheevidenceisn'tthere.

Capabilities

What Research & Chat does

  1. 01

    Deep research

    Up to 24 sources per answer, drawn from your workspace, nine regulatory authorities and the web.

  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

    For larger tasks, Sofie proposes a plan first. Adjust it, then let it run.

  5. 05

    Edit and branch

    Edit an earlier message or branch the conversation to try another approach without losing the first. 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.

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 life-sciences safety minimums apply whichever model answers.

  • Anthropic Claude, OpenAI GPT and Google Gemini
  • Meta Muse Spark, xAI Grok, Kimi and GLM
  • The same models available to every orchestration agent
Model

Auto

Routes each request to a fast, balanced or deep model. Life-sciences safety minimums always apply.

Default

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 run it.

Before Sofie starts a gap assessment across forty documents, see how it intends to approach it. Change the scope, then run. If you want a second angle, branch the conversation and compare.

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

Plan

Awaiting your go-ahead
  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
Run planEdit
Branch 2 of 2 · same question, compared against EU GMP Annex 15

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
Track changesAccept

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

00:00:00:00

Product film · Every claim, cited · In production

Research & Chat

1:00 target
sources read for a single deep-research answer
24
models, plus Auto routing
16
tools in Sofie's catalog
125
“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. Life-sciences safety minimums apply regardless of which model answers.

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.