Skip to content
LANTANA LABS
AI products · Lantana Labs

AI products, built on your data.

We build AI assistants, automations and copilots that plug into how your team actually works — trained on your proposals, your voice, your process. Not a SaaS. Not a prototype. A product your team can run.

Our AI products

Six products. One senior team.

Start with a flagship — or scope a custom build. Every product ships with evals, observability and a clean handoff.

Flagship

Proposal & Grant Assistant

An AI copilot trained on your past proposals, donor language and theory of change. Drafts first-pass grant applications, concept notes and RFP responses in minutes — then your team edits to win.

  • Ingests your proposal library
  • Donor-style voice matching
  • Theory of change scaffolding
  • Human-in-the-loop editing
Discovery

Donor & Funder Match

Shortlists the funders most likely to fund your specific mission — based on funder history, active calls and your theory of change.

  • Pan-African + global donor database
  • Mission-match scoring
  • Upcoming calendar of calls
Narrative

Impact Storyteller

Turns raw program data, interview transcripts and field notes into donor-ready case studies, annual reports and social content.

  • Transcript → narrative
  • Board-ready impact reports
  • On-brand social captions
Brand

Brand Voice Engine

A tuned model that generates and audits content in your exact tone of voice. Catches off-brand copy before it ships.

  • Voice rules + examples trained in
  • Copy-audit on draft content
  • Slack / CMS integrations
Knowledge

Internal Knowledge Assistant

RAG-based Q&A over your proposals, decks, SOPs and policies. New hires onboard in days instead of months.

  • Secure on your data only
  • Citation-backed answers
  • Role-based access
Automations

Custom AI workflows

Purpose-built for your process — data-entry copilots, field-report structuring, donor-report generation, whatever's eating your team's week.

  • Scoped to your workflow
  • Integrates with your tools
  • Ships as a product, not a prototype
How we build AI

Accountable AI. No black boxes.

Four operating principles behind every AI product we ship.

Principle 01

Your data, your model.

We build on top of your proposals, reports, transcripts and brand voice — never a generic product. The output sounds like you, not like ChatGPT.

Principle 02

Model-agnostic.

Anthropic, OpenAI, Google, open-source — we pick per use case. You're never locked into one vendor's pricing.

Principle 03

Guardrails, evaluations, observability.

We build evals for every agent we ship, log every call, and set hard stops for hallucination-prone tasks. AI that's accountable.

Principle 04

Shipped as a product, handed off clean.

Documented codebase, ops runbook, trained on your team. We maintain it if you want — but we don't have to.

Where AI lands

Six sectors. Six ways AI pays back.

NGOs & INGOs
Proposal assistant, donor match, impact reports
Foundations
Call assessment, grantee insights, portfolio reports
Social enterprises
Brand voice engine, pitch drafting, content ops
Accelerators
Cohort application review, curriculum assistants
SMEs & startups
Custom workflow copilots, customer support AI
Research teams
Transcript analysis, lit reviews, synthesis tools
AI + the rest of the agency

AI doesn't replace the team. It compounds it.

The proposal AI makes our grant writers faster. The brand voice engine keeps our campaigns on-tone at scale. The knowledge copilot makes onboarding new clients a day, not a month. Every service we offer is quietly AI-augmented.

Grants speedup
Proposals speedup
Content ops speedup
−80%
Onboarding speedup
Let's start

Have an AI use case in mind?

A 45-minute audit tells us what's actually buildable, what pays back, and what price range it sits in. No deck, no fluff.

Book an AI audit