Digital twins for every function

Agentic AI clones that learn from how your people work

All Teams

Digital twins for every team

Key Features

  • Organizational memory accessible to all departments
  • Decision rationale preserved across tools
  • Seamless integration with existing workflows

Benefits

  • Institutional intelligence that compounds
  • Improve cross-team continuity

Digital twins learn from how your people work. When they leave, scale, or sleep, their twins stay.

Sales

Digital twins that remember every deal

Key Features

  • Full deal memory across interactions
  • Customer context and relationship history
  • Pricing decision rationale preserved

Benefits

  • Increase win rates with full context
  • Reduce ramp time for new reps

The twin remembers every customer interaction, pricing decision, and negotiation rationale. Full context for every conversation.

Marketing

Digital twins that preserve campaign context

Key Features

  • Campaign history and creative decisions
  • Performance insights and learnings
  • Brand rationale and guidelines context

Benefits

  • New campaigns build on past learnings
  • Brand consistency maintained automatically

The twin remembers every campaign decision, creative rationale, and performance insight. Full context for every new brief.

Support

Digital twins that remember every fix

Key Features

  • Resolution memory across tickets
  • Customer interaction history
  • Fix rationale and escalation paths

Benefits

  • Faster resolution with full context
  • First-contact resolution improves

The twin remembers every fix, workaround, and resolution path. Full context for every new ticket.

Operations

Digital twins that understand real workflows

Key Features

  • Process memory and SOP context
  • Vendor interaction history
  • Compliance decision rationale

Benefits

  • Process knowledge compounds over time
  • Compliance rationale always accessible

The twin remembers every SOP, compliance decision, and approval workflow. Full context for every operational question.

People & HR

Digital twins that know policy history and intent

Key Features

  • Policy decision memory
  • Benefits change rationale
  • Employee interaction context

Benefits

  • Policy intent preserved over time
  • Consistent employee answers

The twin remembers every policy decision, benefits change, and the rationale behind them. Full context for every employee question.

See Lore in Action

See how Lore constructs decision rationale and lineage - tracing every choice back to its source and forward to its impact.

Sales

Pricing decisions with full rationale.

Deal history, pricing decisions, and competitor intel - all connected.

Trace the complete decision lineage: from initial pricing to discount approvals to renewal terms.

Sales Question
RS

"I'm about to meet with Acme Corp. What's our pricing history with them, and what was the rationale behind the discount decisions?"

Lore Response

Complete pricing decision lineage for Acme Corp:

Initial Pricing Decision - 2021

Original: $85K ARR, 10% discount. Rationale: Strategic enterprise account, high growth potential. Approved by VP Sales.

Renewal Decision - 2023

Renewal: $120K ARR, 15% discount. Rationale: Account expanded 3x, strong relationship. Discount matched competitor offer.

Sales Meeting - Nov 8

Expansion: 200 seats, $8K/month, 20% discount. Rationale: Strategic account, competitive pressure. Approved by VP Sales.

Compiled from 18 sources
Marketing

Campaign decisions with full rationale.

Performance data, creative decisions, and audience insights - unified.

Trace the complete decision lineage: from strategy to creative choices to performance to learnings.

Marketing Question
MJ

"How did our Q3 brand campaign perform? I need the decision rationale and lineage behind our creative choices."

Lore Response

Complete Q3 brand campaign decision lineage:

Q3 Strategy Meeting - Jun 15

Decision: 60% video, 40% static. Rationale: Q2 video tests showed promise. Approved by CMO.

Creative Review - Sep 12

Mid-campaign pivot: Shift to 70% video. Rationale: Video ads showed 2.3x higher engagement in A/B test.

Campaign Report - Q3 Brand

Results: $450K spend, 3.2x ROAS. Top performer: LinkedIn video (4.8x ROAS). Learnings: Video resonated 3x more with target audience.

Compiled from 24 sources
Engineering

Technical decisions with full lineage.

Architecture choices, bug fixes, and system design - all traceable.

Trace the complete decision lineage: from problem statement to rationale to implementation to impact.

Engineering Question
AK

"Why did we choose GraphQL over REST? I need the decision rationale and how it's performed since launch."

Lore Response

Complete decision lineage for GraphQL adoption:

Problem Statement - Slack Thread #eng-arch

Issue: Mobile app performance degraded. REST over-fetching increased API response times 300% for complex queries.

Architecture Decision Record - ADR-042

Decision: GraphQL over REST. Rationale: Reduces over-fetching 60%, better mobile support, simpler versioning. Approved by CTO Jul 15.

Post-Launch Impact - Sep 15

Results: Mobile app load time reduced 45%. API error rate dropped 20%. POC showed 40% payload reduction, benchmarks 2.3x faster than REST.

Compiled from 11 sources
Product

Every decision with complete rationale.

From PRDs to meetings, stitch the full story together.

Trace the complete decision lineage: from data analysis to stakeholder input to final choice to customer impact.

Product Question
AM

"Why did we remove the bulk export feature? I'm getting customer questions and need the decision rationale and lineage."

Lore Response

Complete decision lineage for bulk export removal:

Usage Analytics Report - Jul 28

Data: <0.5% usage, 3 support tickets/month, 8 hours/week maintenance. Rationale for removal: Low ROI, high maintenance cost.

Product Meeting - Aug 12

Decision: Remove feature. Team voted 8–2. Rationale: Engineering time better spent on high-impact features. Migration plan approved.

Post-Removal Summary - Oct 1

Removed Sep 15. Zero complaints. 3 enterprise customers migrated successfully. Engineering time freed: 8 hours/week. Decision validated.

Compiled from 8 sources
Design

Design rationale preserved.

User research, design system decisions, and accessibility choices - all linked.

Understand the why behind every design decision and its user impact.

Design Question
DL

"Why did we change the primary button style from rounded to square? I'm updating the design system and need the context."

Lore Response

Here's the rationale behind the button style change:

Design System Update - v2.1

Change: Square buttons (4px radius) replace rounded (12px). Rationale: Better alignment with accessibility guidelines, clearer focus states.

User Research - Oct 3

A/B test: Square buttons showed 12% higher click-through. Users found them more "clickable" and professional.

Figma Design System

Updated component library. Accessibility: WCAG 2.1 AA compliant. Contrast ratio: 4.8:1 for primary actions.

Compiled from 14 sources
Team Member

Get answers instantly.

Documents, decisions, and context - instantly connected.

Find the exact documents, discussions, and decisions behind any topic.

Team Member Question
JD

"I need to understand our Q4 marketing strategy. Can someone point me to the relevant documents and any discussions about it?"

Lore Response

Here's what you need for Q4 marketing:

Q4 Marketing Plan

Complete strategy document with budget allocation, last updated by Sarah 3 days ago

Strategy Meeting - Oct 15

Detailed discussion about channel mix and campaign priorities, includes recording

Slack #marketing

Sarah's note: "We shifted focus from paid ads to content marketing for better ROI..."

Compiled from 12 sources
Manager

Executive-ready context in minutes.

Root cause, impact, resolution, prevention - all in one place.

Summaries tie RCA, impact, and fixes - sourced across tools.

Manager Question
TC

"Can someone give me a quick summary of what caused the API performance issues last week? Need context for the exec update."

Lore Response

Executive summary of the API incident:

Incident #INC-441

Root cause: Database connection pool exhaustion due to configuration change. Resolved in 47 minutes.

Impact Assessment

API latency increased 300%, affecting 12K requests. Zero data loss. 3 customer complaints escalated.

Resolution & Prevention

Hotfix increased pool size. Added alerts for saturation. Postmortem scheduled for Thursday.

Compiled from 15 sources