Prepared for LSE Generate · April 2026

Strengthen the tools you keep.
Replace the ones you've outgrown.

A tailored proposal for how Nunchi can power contact intelligence, mentor matchmaking, personalized outreach, and impact reporting at LSE Generate — without adding another disconnected tool to the stack.

Prepared for LJ Silverman, Laura Ross, Cathy Walker, Joanna Hamer, Sian Kincaide & Meenakshi Ajith

TOP HUB
Recognized among Europe's top start-up hubs · 2026 Top UK university in-house incubator, ranked by Financial Times · Statista · Sifted. Nunchi is built for communities operating at this level.
The Challenge

We heard you.

Across our conversations — the 60-minute demo and your pre-call brief — the same six priorities came through. Everything in this proposal maps to one of them.

Maintaining up-to-date contact details, tracking relationship activity, and building a searchable directory of speakers, mentors, partners, investors, and founders.

Priority: Contact Management

LSE Generate runs on people, but the people data is stuck in Airtable, email threads, and individual heads. Turnover means institutional memory leaves with staff.

Automated mentor matching, connecting the right people based on needs, locally and by expertise.

Priority: Mentor & Speaker Matchmaking

You asked specifically about location-based matchmaking, speaker mentors, and nurturing community. Today this happens manually and doesn't scale to 8,000 contacts.

Audience segmentation, newsletter creation and distribution, and campaign automation based on characteristics like location, expertise, and interests.

Priority: Segmentation & Communications

This is the Mailchimp pain. Segmentation today is static and manual. Nunchi's profiles, Groups and Bulletin Board make it dynamic, so segments stay accurate as contacts evolve and the system proactively identifies the right people for every program, event, and opportunity.

LSE Generate · Today
A
Airtable Replaced
M
Mailchimp Integrate or Replace
L
Luma Integrated
S
Slack Integrated
→
With Nunchi
N
Nunchi
One intelligence layer. AI-built profiles, relational intelligence, segmented audiences and groups, matchmaking, and impact reporting — all sitting on top of the tools you already use.
Why Nunchi

Three things a CRM and an email tool can't do together.

Mailchimp + Airtable + Luma + Slack is four disconnected systems — none of which understand the people. Nunchi was built to be that understanding layer.

📄

AI-Built Profiles

Ship us an Excel of 8,000 contacts and we generate rich, living profiles — pulling skills, company, stage, interests, and context from public signals. No one fills out a form. Profiles stay fresh with on-demand re-enrichment inside the platform.

♡

Relational Intelligence

The AI reads the whole community and surfaces who should meet whom — with a match summary explaining why. This is what you saw on our call: the match cards that go beyond "here are ten results" into "here is the right person and here is why."

☆

Community Agents

Nunchi doesn't sit waiting to be opened. It emails members weekly with personalized suggestions, flags dormant contacts, tells you which speaker fits which event, and tells admins who to send the next piece of content to. The platform works for you.

The key difference: a CRM stores contacts; an email tool sends mail. Nunchi reads the community, understands it, and acts on it — so a founder in São Paulo gets connected to the right mentor in London without anyone at LSE Generate lifting a finger.
What LSE Generate Gets

Every priority you named, mapped to a Nunchi capability.

Six rows. Your priorities in the exact order you ranked them.

1
Contact Management
AI Profiles + Relational Intelligence™
Single source of truth for speakers, mentors, partners, investors, and founders. Relational intelligence surfacing introductions and keeping profiles relevant. No more manual data entry. Discover and get suggestions with natural language prompts.
Replaces: Airtable with a living, intelligent database.
2
Community Intelligence & Engagement
Real-time User Activity Feed + Network Insights and Recommendations
Know who your regulars are, who's dormant, what founder types (AI, F&B, climate) are mapped where globally, and which affinity groups or resources people care about.
New capability: not possible in your current stack.
3
Mentor & Speaker Matchmaking
Location- and Expertise-Aware AI Matching
The match card summaries you saw on the call, running across all 8,000 contacts. Filters by location (for international chapters), expertise, stage, and need. One-click intro suggestions — admin reviews, approves, and sends. Dedicated Mentee↔Mentor workflow matches the ideal pairs from your lists in minutes.
New capability: today this is fully manual.
4
Marketing Automation & Communications
Audience Segmentation + Suggested Sharing
Affinity groups auto-suggested by skills/industry/interest. Because segments are built from AI profiles (not static lists), they auto-update as contacts evolve. Group email management with external sharing. Admin-only tags stay invisible to users.
Replaces or Enhances: Mailchimp.
5
Impact Reporting & Data
Quantitative + Qualitative Outcome Tracking
Attendees, engagement activity, connections made, businesses started, investment raised… Profile data and Activity Feeds give you full network visibility. We can custom-build an LSE dashboard that feeds your annual impact report — and lets you segment outcomes by cohort, chapter, or founder industry.
New capability: replaces manual reporting.
6
Program & Event Automation
Agentic Network Analysis + Event Suggestions
Future program decisions informed by your members' goals, interests, attendance, engagement, and outcome data — not gut feel. Nunchi surfaces the right people to invite and the right events to deliver.
Integrates with: Luma for event signals.
On the Call

The moments your team lit up.

These were the features that scored on the demo — the ones that made Laura, Cathy, Joanna, and Sian say "that's exactly what we need."

Aha moment

AI-Generated Profiles

Send the Excel, get 8,000 enriched profiles back. No forms, no onboarding pain.

Aha moment

Match Card Summaries

The AI explains why two people should meet. Not just "here are results."

Aha moment

Intro Suggestions

Admin-reviewed, AI-suggested introductions. The matchmaking you do manually today.

Aha moment

Groups

Private or public, automatic or manual. The foundation for mentor cohorts and donor segments.

Aha moment

Mentor Workflow

End-to-end: match → intro → meeting → feedback. Logged and measurable.

Aha moment

Segmented Emails

Send targeted emails to the right slice of the community — without leaving Nunchi.

Aha moment

Bulletin Board

Tells admins who should see which content and event. Smart distribution, not broadcast.

Aha moment

Weekly Engagement Emails

Nunchi's weekly email to members — personalized suggestions, keeps the community warm.

Signature moment

How the Mentor Matchmaking agent actually works.

Three screens, one export. This is the real Nunchi Assistant running live — admin configures, agent matches, program manager exports the full cohort in one click.

1
Set up the match
Mentorship Matching

Choose the two groups to match

Pick from Groups you've already created. The agent matches across them.

Mentor Group
LSE Alumni Mentors 412 members
Mentee Group
Generate Founders 2026 68 members
Distribution
Preview 68 mentees × 1 mentor each · 1:1 pairing · 344 alumni remain available for next cohort.
Create Pairs Mentorship Matching Matchmaking
2
Describe the ideal match
Describe ideal matchmaking
Step 2 of 3

What should the agent optimize for?

"Match founders with alumni who share their industry and stage. Prioritize London-based mentors first, then warm alumni paths. Avoid duplicating past mentor relationships."

Use these profile fields

Looking for
Industry
Occupation
Skills
Location
Stage
Availability
LSE program
Back Run Match
3
Review the teams
Final Review · Teams
68 pairs
AI Innovation · Leadership
Pair 01 · AI / Edtech
MH
Maya Hassan
Mentee
RK
Rohan Kapoor
Mentor
Pair 02 · Climate Tech
AO
Ade Okafor
Mentee
SP
Sofia Park
Mentor
Teams Spreadsheet
68 pairings, ready to export
Generate Founders 2026 · Mentorship Matching · Produced in 42 seconds
Copy Export Excel
GroupRoleNameMatch reason
AI / EdtechMenteeMaya HassanFounder, LSE '25 · building AI study assistant
AI / EdtechMentorRohan KapoorCEO, AI edtech · LSE '14 · London
Climate TechMenteeAde OkaforFounder · carbon credit marketplace
Climate TechMentorSofia ParkVP Climate, LSE '09 · 3 prior mentees
FintechMenteePriya DesaiFounder · SMB lending platform
FintechMentorJames WhitfordPartner, fintech VC · LSE '07
Social ImpactMenteeNadia BekeleFounder · refugee employment platform
Social ImpactMentorDaniel MbekiED, impact fund · LSE '11
The time delta: 68 mentor pairings, explained and exportable, in under a minute. What took a program manager a full week of spreadsheets, LinkedIn tabs, and bias-prone guesswork now runs consistently across every cohort and every program.
Priority 5 · Impact reporting

Every interaction, counted.

Every number LSE Generate needs to prove impact — captured automatically across programs, chapters, and cohorts. Quantitative outcomes next to the qualitative story, plus a live activity log of who did what.

LSE Generate · Impact Dashboard
FY 2026 · Live
0
Active Contacts
0
Founders Supported
0
Investment Raised
0
Relationships Built
Top Industries
AI / Deep Tech
92
Climate Tech
78
Fintech
64
Healthcare
48
Social Impact
55
Top Skills in the Network
Fundraising
88
GTM / Sales
74
Product Strategy
69
Engineering Hiring
52
Policy / Regulation
38
Qualitative Outcomes · This Quarter
68
Mentee Matches
1:1 pairings shipped across the 2026 Generate cohort, with 92% still active at week 8.
5
Int'l Chapter Activation
Lagos, Singapore, São Paulo, Nairobi, and Mumbai chapters each crossed the 50-member threshold.
292
Alumni Give-Back
Alumni returned as speakers, mentors, or judges this year — the highest on record.
24
Active Groups
Across 6 types — mentors, founders, alumni, judges, speakers, and chapter leads.

Activity Log

All Dates All User Types All Activity Types
DateUserActivity TypeDescription
Apr 20, 2026
02:41 pm		Maya HassanConnection MadeMaya Hassan connected with Rohan Kapoor
Apr 20, 2026
11:18 am		Ade OkaforSearchedAde Okafor searched for "climate tech mentors in London"
Apr 19, 2026
04:52 pm		Nadia BekeleNew UserNadia Bekele has joined!
Apr 19, 2026
09:30 am		Priya DesaiUpdate ProfilePriya Desai updated their Company, Industry, Skills
Apr 18, 2026
03:15 pm		Sofia ParkGroup JoinedSofia Park joined LSE Alumni Mentors
Apr 18, 2026
10:07 am		Laura MorganIntroduction SentLaura Morgan introduced Ade Okafor and Elena Brooks
Apr 17, 2026
05:05 pm		Meenakshi AjithCreate ProfilesMeenakshi Ajith created 12 profiles
Apr 17, 2026
01:22 pm		James WhitfordEvent RSVPJames Whitford registered for Generate Spring Mixer
What changes on Monday

Laura opens her inbox. Nunchi has already done the work.

The weekly email from Nunchi is what makes "nudges to engage" real. Not a digest — a set of specific, acknowledged decisions waiting for sign-off.

Monday · 08:14

Three intros ready to approve. Four dormant members to re-engage. Two events the network is already asking for.

Laura scans the weekly email. She approves two intros, snoozes the third, drafts a re-engagement outreach to a dormant VC in the Singapore chapter, and forwards Nunchi's suggested "Sustainability & Climate Innovation Showcase" to Sian as a May event idea. She also spots that Maya Hassan logged 33 activities this week and makes a note to check in. Total time: eleven minutes.

Without Nunchi, this same read would require pulling Airtable exports, cross-referencing Slack for context, drafting bespoke emails in Mailchimp, and cross-checking Luma RSVPs. That's most of Monday.

LSE Network Effect

Your team, across LSE.

The LSE Generate team is cross-functional. Your colleagues at LSE Alumni and the Marshall Institute share overlapping constituents. Nunchi gives you one environment with your own data firewall and controlled sharing to the wider university.

LSE Generate
LSE Generate
This proposal
LSE Alumni
LSE Alumni
Natural adjacent hub
LSE Marshall Institute
Marshall Institute
Social entrepreneurship sibling
LSE Generate
LSE Alumni
Marshall Institute
LSE Generate (8,000)
Switch between LSE hubs instantly
Laura Ross
International Chapters
Filtered view of global founders and chapter leads. Location-based matchmaking front and center.
Cathy Walker
School's Program
Active cohorts, mentor assignments, and program outcomes — segmented from donor data.
Joanna Hamer
Core Program
Startup competition applications, application scoring, and Core cohort engagement.
Sian Kincaide & Meenakshi Ajith
Events & Marketing
Bulletin board distribution, event marketing automation, Luma integration, and native Nunchi campaigns.
✓ Your data firewall — LSE Generate data stays private to the Generate team unless you explicitly share it.
✓ Controlled collaboration — Invite LSE Alumni or Marshall Institute colleagues into specific shared groups when it serves both hubs.
✓ Automatic group types — Nunchi knows a group of mentors is mentors and a group of students is students. Tags label themselves.
✓ Institutional expansion path — Other LSE hubs can join later. Each gets their own space, cross-discovery happens when invited.
Honest status

What you asked for, where it stands today.

You raised several features during the demo. Here's the honest view — live now, actively building, or committed for delivery during your contract year. No vaporware.

Live Today
AI-generated profiles
Excel → enriched profiles
Match cards & intro suggestions
Relational intelligence engine
Groups (public & private)
With admin controls
Mentor matchmaking workflow
End-to-end loop
Segmented email management
Audience segmentation today
Bulletin board & smart distribution
Tells you who to send what to
Weekly engagement emails
Auto-sent to members
Slack integration
Already in production
Actively Building 2026
More Agents
Automatically handles staff needs — making intros, posting resources, scheduling
Additional Matchmaking Workflows
Founders↔investors, co-founders, event attendees
More Admin Controls
Cadence and type of email nudges
Customizable Group Emails
Replaces Mailchimp use case
Automatic Labels and Directory Shortcuts
Detects mentors, advisors
Save & Organize Profiles
Every user can create collections
Expanded Impact-Reporting Exports
Annual report-ready outputs
User Tools
User agents, create bios, etc.
Possible for LSE
LSE Branding / UI Skin
LSE visual identity applied across the platform
LSE Dashboard — Custom Build-Out
Impact reporting configured for Generate's specific KPIs
Mailchimp Integration
Two-way sync with existing audiences
Luma Integration
RSVPs and event attendance flow into profiles
The FDE option below exists because of this list. A dedicated engineer sitting with your team can ship the "Possible for LSE" items faster — and build LSE-specific workflows we haven't yet thought of.
Infrastructure & Trust

Built for institutions that take data seriously.

LSE Generate serves UK, EU, and international members. Nunchi's architecture is designed around that reality.

SOC 2 & GDPR

Built to meet institutional security and data protection standards.

  • SOC 2 Type II program in place
  • GDPR-ready: data residency, consent flows, right-to-erasure
  • Built to satisfy LSE's data protection review

Role-Based Access

Granular permissions per team member — only the right people see the right data.

  • Admin, editor, and viewer roles
  • Group-level visibility controls
  • Audit log of every admin action

Your Data is Yours

No vendor lock-in. Your network belongs to LSE, not to us.

  • Full Excel export of profiles, engagement, and outcomes anytime
  • No forced CRM migration, no messy API setup
  • If you ever leave, you leave with every byte
Full privacy practices and policies at heynunchi.com/privacy
Implementation

Live in 4 weeks.

A three-phase rollout designed around your team's cross-functional load and the academic calendar.

Phase 1 · Weeks 1–2
Ingest, Enrich, Brand
Excel file of 8,000 contacts ingested. AI enrichment runs across the selected contact count (Enterprise Basics: 4,000; Enterprise Essentials: all 8,000). LSE branding skin applied. Admin accounts provisioned for Laura, Cathy, Joanna, Sian, and Meenakshi. Role-based permissions configured.
Excel ingest AI enrichment LSE skin Admin training
Phase 2 · Weeks 2–4
Integrations & Soft Launch
Luma, Mailchimp, and Slack integrations live (if purchased). Weekly engagement emails activated. Mentor matching runs against the enriched pool. First impact-report dashboard populated. Team begins running real workflows on their own data. The LSE network is invited in to start building relationships.
Luma live Mailchimp live Slack live Impact dashboard
Phase 3 · Week 4 onward
Full Roll-out & Compound Value
All Generate programs running on the platform. Roadmap items from "Possible for LSE" ship across the contract year. If you add the FDE, this is where the compound value starts to show — LSE-specific workflows built for you.
All programs live Committed roadmap ships First report export Custom workflows & agents
Investment

Three options. No hidden fees.

Two platform options based on how much of your 8,000-contact community you want enriched upfront. One optional add-on that we recommend only if you want to move faster than the roadmap.

Option A
Enterprise Basics
Full platform. Enrichment on 4,000 of your 8,000 contacts — the priority half.
$ 38,000 / year
  • 8,000 contact capacity
  • 4,000 profiles fully AI-enriched
  • LSE branding skin applied
  • Slack integration included
  • All core features: profiles, match cards, groups, mentor workflow, segmented email, bulletin board, weekly emails, impact dashboard
  • Role-based permissions
  • Dedicated setup & admin training
  • Refresh & re-enrich profiles anytime inside Nunchi
Recommended
Option B
Enterprise Essentials
Everything in Enterprise Basics — with AI enrichment running on all 8,000 profiles from day one.
$ 55,000 / year
$110,000 $88,000 2-year contract · 20% off
  • Everything in Enterprise Basics
  • All 8,000 profiles AI-enriched from day one
  • Matchmaking runs at full community scale immediately
  • Segmentation accuracy across the entire contact base
  • Best-in-class impact reporting from day one
  • Refresh & re-enrich anytime inside Nunchi
Add-on
Dedicated FDE
A Nunchi forward-deployed engineer embedded with the LSE Generate team each week.
+$ 30,000 / year
  • Dedicated weekly time with your team
  • Adoption & implementation support
  • Scopes and builds custom workflows for LSE
  • Ships enhancements specifically for your use cases
  • Accelerates "committed roadmap" items into production
  • Direct pipeline into Nunchi engineering for LSE requests
Integrations Bundle · Optional
+$10,000 one-time

Custom integrations with both Luma and Mailchimp — built, tested, and maintained for your account. Slack integration is included in all platform options.

What's always true across every option

AI profiles can be refreshed and re-enriched at any time inside Nunchi — so contacts stay current as careers evolve. Unlimited users & admin seats. Unlimited AI usage. Full feature access. No per-seat fees.

Pricing reflects LSE Generate's account priority to Nunchi — enrichment is offered close to our delivery cost. This is an investment in the partnership, not a list-price quote.

Let's make this real.

LSE Generate is a top startup hub in Europe for a reason — and the right infrastructure should match that ambition. We'd like to be that infrastructure.

Let's Go See Nunchi in action →

Trista Van Tine  |  Founder & CEO  |  trista@heynunchi.com
Nunchi — Relational Program Infrastructure™ for communities that matter.

© 2026 Nunchi. Confidential — prepared exclusively for LSE Generate at the London School of Economics and Political Science.