Lexington Advisory Group
Our Products

AI built for social impact

Quantibly is an impact-focused large language model built for nonprofits, NGOs, public agencies, and social enterprises. It’s tuned to understand the realities of mission-driven organizations and helps them turn complex program data into clear, decision-ready insight for stakeholders.

Designed to support organizations working across programs, regions, and funding streams.
Quantibly at a glance
Q

A purpose-built AI layer that sits on top of your existing data and documentation, helping you interpret, align, and communicate social impact without rebuilding your entire tech stack.

Audience-aware: Adapts outputs for funders, boards, regulators, and communities.
Impact-focused: Links activities, outcomes, and evidence into one coherent view.
Implementation-ready: Designed to plug into social and public sector workflows.
01

Insights that matter to your stakeholders

Social impact work rarely fits into neat spreadsheets. Programs span multiple funders, diverse communities, and long-term outcomes that are difficult to summarize. Quantibly analyzes your program data, grant requirements, and sector reference points to surface the signals decision-makers actually need.

Whether you’re tracking learning outcomes, evaluating a health initiative, or making the case for a policy intervention, Quantibly adapts to your mission while staying aligned with external reporting expectations.

  • Interprets program data and maps it against donor, regulatory, and framework requirements.
  • Provides outcome context using sector benchmarks and evidence sources.
  • Drafts funder-ready narratives with traceable references back to your underlying data.
02

One coherent story across all audiences

The same portfolio of work often needs to be retold in many formats—grant proposals, foundation reports, government compliance filings, donor updates, and internal performance reviews. Each has different expectations, yet all draw from the same underlying programs and data.

Quantibly keeps your core impact narrative consistent, then reshapes it for each stakeholder, so every version stays anchored in the same facts and outcomes.

Grant applications Impact reports Compliance filings Board updates Donor stewardship
Outcome

Less time rewriting the same story for different funders, more time improving programs— with documentation that stays consistent and audit-ready.

03

Context-aware across regions and programs

Impact looks different from place to place. A literacy initiative, a youth development program, and a livelihood intervention may share a portfolio, but they don’t share the same indicators, language, or data conventions. Quantibly respects those local realities while still enabling cross-portfolio comparison.

The result is a single impact view where local teams see themselves accurately represented and organizational leaders can still understand performance across sites and regions.

  • Supports localization of metrics, taxonomies, and languages across different geographies.
  • Captures program-level nuance while maintaining portfolio-level comparability.
  • Uses shared definitions so roll-ups and dashboards tell a consistent story.
Outcome

A single source of truth that honors local context while still satisfying global reporting requirements and leadership visibility.

04

See Quantibly in the context of your own programs

Explore how Quantibly can streamline reporting, align teams around shared outcomes, and sharpen decisions across your programs and regions. Share a sample of your current reporting challenges, and we’ll show you what the model can do with them.