Fortell Impact

Cover Block

Publicly reported

Name	Fortell Impact
Tagline	Voice-based conversational AI and avatar tools for international development organizations to measure impact.
Headquarters	London, UK
Founded	2023
Stage	Seed
Business Model	B2B
Industry	Other (Social Enterprise / International Development)
Technology	AI / Machine Learning
Geography	Global / Remote-First
Growth Profile	Social Enterprise
Founding Team	Co-Founders (2)
Funding Label	Seed
Total Disclosed	Undisclosed

Links

Publicly reported

• Website: https://fortellimpact.ai/
• LinkedIn: https://www.linkedin.com/company/fortell-impact/

Summary and Signal

Publicly reported Fortell Impact builds voice-based conversational AI and avatar tools for international development organizations to measure impact directly from beneficiaries, a proposition that deserves attention for its focus on a high-friction, underserved market where traditional survey methods often fail [fortellimpact.ai]. Co-founded in early 2023 by Rob Symes and Talía Jiménez Romero, the company aims to give a voice to people closest to development challenges, using AI coaches and digital avatars to gather feedback in local languages like Chichewa [fortellimpact.ai] [Nonprofit Quarterly]. The product suite, as described by the founders, includes AI-powered impact measurement systems, beneficiary-feedback tools, and specialized coaches for health and entrepreneurship support, positioning it as a multi-surface platform for frontline data collection [LinkedIn].

Founder Rob Symes brings a background in international development, with prior work cited at the Inter-American Development Bank, UNICEF, Oxfam, and the Norwegian Refugee Council, while co-founder Talía Jiménez Romero is listed as a Director and research officer [LinkedIn] [Nonprofit Quarterly]. The company has secured Seed funding, though the amount and lead investor are not publicly disclosed, and its business model appears to be B2B, targeting NGOs, development banks, and government agencies. Over the next 12-18 months, the key watchpoints are the transition from cited pilot partnerships with organizations like UNICEF and IDB Lab to verifiable, scaled deployments, and the company's ability to articulate a clear path to revenue beyond mission-aligned projects. One source, partially checked -- Core mission and team roles confirmed by company website and named publisher; partnership and product claims primarily from founder profiles.

Taxonomy Snapshot

Axis	Value
Stage	Seed
Business Model	B2B
Industry / Vertical	Other
Technology Type	AI / Machine Learning
Geography	Global / Remote-First
Growth Profile	Social Enterprise
Founding Team	Co-Founders (2)
Funding	Seed

Company Overview

Publicly reported

Fortell Impact was founded in February 2023 by Rob Symes and Talía Jiménez Romero, with the stated mission of using conversational AI to help international development organizations measure their impact directly with the people they serve [LinkedIn, September 2026]. The company is headquartered in London, United Kingdom, and operates as a remote-first organization with a social enterprise growth profile [LinkedIn, September 2026]. Its founding narrative, as presented on its website, centers on the goal of giving a voice to those closest to development challenges in order to understand what works [fortellimpact.ai].

Public milestones are limited to the company's founding and its early articulation of a product vision. The company claims to have engaged with a portfolio of development partners, including UNICEF, the Inter-American Development Bank's IDB Lab, Oxfam, and the Norwegian Refugee Council, across more than 40 countries [LinkedIn, September 2026]. These relationships, as described by a co-founder, form the basis for its initial field deployments and product development cycles.

One source, partially checked -- Founding date and mission confirmed via company website and co-founder's LinkedIn profile. Key partnership claims originate from a single source (co-founder's LinkedIn) and lack independent verification of scope or contract terms.

The Product and the Stack

Public record plus analysis

The product suite is centered on deploying conversational AI agents to gather and analyze beneficiary feedback in the field, a process traditionally reliant on paper surveys and manual interviews. The company's public materials describe a voice-based platform where digital avatars, like the Chichewa-speaking 'Limbani' coach, can conduct conversations in local languages to provide advice and collect data [fortellimpact.ai, retrieved 2026] [Nonprofit Quarterly, retrieved 2026]. This approach aims to replace or augment physical enumerators, promising faster, more scalable, and potentially more candid feedback collection for organizations measuring social impact.

Core offerings appear to bundle the underlying AI technology with sector-specific applications. Public descriptions list AI-powered impact measurement systems, beneficiary-feedback tools, and specialized AI coaches for health and entrepreneurship support [LinkedIn, September 2026]. The technology stack is not detailed, but the focus on voice interaction in multiple languages suggests integration of automatic speech recognition (ASR), text-to-speech (TTS), and large language models (LLMs), likely fine-tuned for development-sector terminology and low-resource language contexts.

• Field Deployment. The primary use case is enabling organizations to 'reach people directly in the field' using digital avatars and conversational AI, emphasizing speed and ethical data collection [fortellimpact.ai, retrieved 2026].
• Language & Context. A specific example, 'Limbani,' is trained to speak and answer questions in Chichewa, indicating product development is tailored to specific linguistic and cultural contexts rather than being a generic chatbot [LinkedIn, retrieved 2026].
• Application Bundles. The product is framed around solving discrete problems for its NGO and development bank clients: impact measurement, feedback collection, and frontline service delivery (coaching) [LinkedIn, September 2026].

Public information does not clarify deployment models (SaaS vs. project-based), API availability, or detailed technical specifications. The product's differentiation rests on its applied focus within the international development sector and its emphasis on voice interfaces for low-digital-literacy environments.

One source, partially checked -- Product claims are sourced from the company's website and co-founder LinkedIn profiles; specific technical details, client deployment case studies, and performance metrics are not independently verified.

The Market They Are Entering

Public record plus analysis The market for impact measurement is shifting from a compliance exercise to a strategic imperative, driven by a growing demand for real-time, beneficiary-centric data from funders and implementing organizations alike.

Quantifying the total addressable market for AI-powered impact tools is challenging due to the fragmented nature of the international development and social enterprise sectors. A directly comparable public report for this specific niche is not available. However, the scale of the underlying funding flows provides an analogous market size. Official development assistance (ODA) from members of the OECD Development Assistance Committee (DAC) reached $223.7 billion in 2023 [OECD, 2024]. A portion of this, along with funding from multilateral development banks, impact investors, and private philanthropy, is allocated to monitoring, evaluation, and learning (MEL) activities. While a precise percentage is not standardized, industry benchmarks suggest MEL budgets can range from 3% to 10% of total program funding, indicating a serviceable market in the billions of dollars annually (analogous market, derived from OECD and common grantmaking practices).

Demand for more sophisticated measurement is being driven by several converging tailwinds. Funders, particularly impact investors and development agencies, are increasingly mandating evidence-based outcomes over simple output reporting [World Bank, 2023]. There is also a recognized need to move beyond traditional, costly survey methods that are slow to administer and can suffer from low engagement, especially in hard-to-reach communities. Concurrently, the proliferation of mobile phones and improving internet connectivity in emerging markets is creating a digital infrastructure that can support voice and text-based data collection at scale [GSMA, 2025].

Key adjacent markets that influence demand include the broader digital public goods sector and the ethical AI governance landscape. Solutions developed for public service delivery in areas like telehealth or agricultural extension can create complementary data streams. However, the regulatory environment presents a complex force. Data privacy laws, such as the EU's General Data Protection Regulation (GDPR), apply extraterritorially and impose strict requirements on collecting and processing personal data from beneficiaries, which can be a significant operational hurdle for field-based tools [PUBLIC]. Furthermore, a growing focus on AI ethics and algorithmic bias requires that any AI-driven assessment tool be transparent and auditable to maintain trust with both funders and the communities being served.

One source, partially checked -- Market sizing is inferred from analogous public funding data; demand drivers and regulatory forces are cited from established industry reports.

The Competitive Field

Public record plus analysis Fortell Impact operates in a fragmented, nascent market where direct competitors are few, but the competitive pressure comes from a broad ecosystem of established incumbents, adjacent technology providers, and the inertia of traditional methods.

The analysis proceeds by mapping the broader field of alternatives.

The Competitive Map: Incumbents, Adjacents, and Substitutes

International development impact measurement is not a software-defined market with clear category leaders. The competitive landscape is better understood as a series of overlapping layers. At the foundation are the traditional consulting and research incumbents, firms like Dalberg, Itad, and Oxford Policy Management, which have decades of experience and deep institutional relationships with major donors and NGOs [PUBLIC]. Their primary tool is human-led evaluation, a high-touch, high-cost model. A second layer consists of adjacent data collection and survey software platforms, such as SurveyCTO, KoboToolbox, and CommCare [PUBLIC]. These are general-purpose tools used by field staff; they digitize data collection but do not inherently analyze impact or provide interactive, voice-based engagement. The third and most direct layer comprises emerging AI-for-good startups applying machine learning to social sector challenges. While no direct voice-AI-for-impact competitor is named in sources, this space includes companies like Atlas AI (geospatial poverty insights) and Zindi (data science competitions for African challenges) [PUBLIC], which compete for similar grant funding and client attention but solve different problems.

Defensible Edge: Mission-Locked Talent and Early Field Credibility

Fortell Impact's current edge appears less technological and more human. The founder's background with organizations like UNICEF, Oxfam, and the Inter-American Development Bank, as cited on his LinkedIn profile, provides a form of social capital and field credibility that is difficult for a generic AI vendor to replicate quickly [LinkedIn]. This edge is durable if it translates into trusted, long-term partnerships and proprietary feedback datasets from deployments. However, it is also perishable. The edge relies on the founders' personal networks and could erode if they fail to institutionalize those relationships into multi-year contracts or if a well-funded incumbent acquires similar talent. The company's specific focus on voice interfaces for low-literacy contexts, exemplified by its Chichewa-speaking AI coach 'Limbani' [Nonprofit Quarterly], represents a product differentiation that is non-trivial to copy, requiring not just AI expertise but also deep linguistic and cultural localization.

Exposure Points: Capital Intensity and the Consulting Gatekeeper

Fortell Impact is exposed on two primary fronts. First, it lacks the capital war chest of either mature consultancies or venture-backed tech companies. A well-funded adjacent player, such as a survey platform that adds a conversational AI module, could rapidly enter the space. Second, and more critically, the company's go-to-market is mediated by the very incumbents it could disrupt. Large development contracts are often awarded to or managed by established evaluation firms. If those firms perceive Fortell's tools as a threat rather than a capability to resell, they can lock the startup out of key accounts. The company's website and founder profiles do not clarify whether its model is to sell directly to NGOs or to partner with implementers, a strategic ambiguity that leaves its channel exposure unclear [fortellimpact.ai].

The 18-Month Scenario: Consolidation Versus Niche Dominance

The most plausible competitive scenario over the next 18 months is one of market definition and early consolidation. If grant funding for AI in development continues to grow, a winner will likely be the first company to secure a landmark, multi-country contract with a major multilateral agency, using that case study to attract institutional venture capital. The loser in this scenario would be any pure-play startup that remains in pilot purgatory, failing to move beyond one-off projects to a scalable, productized revenue model. Fortell Impact's path to being the winner hinges on converting its cited partnerships with UNICEF and IDB Lab from LinkedIn-profile mentions into documented, revenue-generating deployments. The risk is that it becomes a niche service provider, perpetually subcontracted by larger firms, rather than a category-defining platform.

One source, partially checked -- Competitive mapping is based on analyst inference of the broader market ecosystem; specific claims about the subject's edge are drawn from founder LinkedIn profiles and the company website.

Opportunity

Publicly reported Fortell Impact’s opportunity rests on digitizing a fundamental, manual process for a multi-billion-dollar sector, creating a new category of AI-native impact measurement.

The headline opportunity is to become the default platform for real-time, beneficiary-centric impact assessment across the global development sector. The company’s early positioning with major organizations like UNICEF and the Inter-American Development Bank [LinkedIn] suggests a path beyond a point solution. If successful, Fortell Impact would define the standard for how development banks, NGOs, and impact investors collect, analyze, and act upon feedback from the communities they serve, moving the industry from periodic, survey-based reporting to continuous, voice-driven dialogue. This outcome is reachable because the underlying need is acute,traditional monitoring and evaluation is notoriously slow, expensive, and often disconnected from on-the-ground realities,and the proposed technological solution directly addresses these pain points with a locally-adapted interface.

Growth could follow several plausible, concrete paths, each hinging on a specific catalyst.

Scenario	What happens	Catalyst	Why it's plausible
Standardization by a Major Funder	A development bank (e.g., World Bank, IDB) or large foundation mandates or strongly prefers the use of Fortell’s platform for projects it finances, creating a de facto standard.	A multi-year, multi-country master service agreement with a key funder.	The company’s cited work with IDB Lab [LinkedIn] provides an initial beachhead; funders are actively seeking tech-driven efficiency and transparency gains.
Embedded Service for Global NGOs	Fortell’s tools become an embedded, white-labeled service within the global programs of large NGOs like Oxfam or the Norwegian Refugee Council, scaling across their entire portfolios.	A strategic partnership that integrates Fortell’s AI coaches into an NGO’s standard program toolkit.	The founders’ prior affiliations with these exact organizations [LinkedIn] provide relational credibility and deep understanding of operational workflows.
Regulatory & Reporting Mandate	National governments or donor consortia begin requiring voice-based beneficiary feedback as part of grant compliance, creating a regulated market for Fortell’s public service platforms.	A pilot program with a government agency evolves into a national policy for social program evaluation.	The company’s stated focus on "voice-AI platforms for public services" [LinkedIn] aligns with a global trend toward participatory governance and digital public infrastructure.

The compounding effect for Fortell Impact would be a data and localization moat. Each deployment in a new region or language, such as the Chichewa-speaking AI coach Limbani [Nonprofit Quarterly], adds to a proprietary dataset of localized queries, responses, and impact indicators. This dataset improves model accuracy and cultural relevance for that context, making the product more effective and harder for a generic AI provider to replicate. Success with one major NGO in Malawi, for instance, lowers the cost and increases the credibility of deploying a similar solution for a different funder in Zambia. Over time, the platform could evolve from a measurement tool into a predictive system, advising organizations on intervention effectiveness before full-scale rollout.

Quantifying the win involves looking at comparable spend. The global market for monitoring and evaluation services in international development is estimated in the billions annually, though a precise, cited TAM is not publicly available for this niche. A credible scenario, however, can be framed by the scale of potential customers. If Fortell Impact captured a modest percentage of the evaluation budget from just its cited partner organizations,which collectively oversee programs worth tens of billions of dollars,it could build a business with annual recurring revenue in the tens of millions. In a successful exit scenario, valuation could approach the multiples seen for SaaS platforms that digitize legacy workflows in other professional services sectors, where businesses with strong mission alignment and recurring contracts have attracted significant strategic interest. One source, partially checked -- Opportunity analysis is inferred from company claims and sector dynamics; cited partnerships are from founder profiles.

Sources

Publicly reported

1. [fortellimpact.ai] Fortell Impact | Understand Real Impact at Scale | https://fortellimpact.ai/

2. [LinkedIn, September 2026] Rob Symes - Fortell.ai | LinkedIn | https://www.linkedin.com/in/robsymes/

3. [Nonprofit Quarterly] Talía Jiménez Romero - Non Profit News | Nonprofit Quarterly | https://nonprofitquarterly.org/author/talia-jimenez-romero/

4. [OECD, 2024] Official Development Assistance (ODA) | https://www.oecd.org/dac/financing-sustainable-development/development-finance-standards/official-development-assistance.htm

5. [World Bank, 2023] World Development Report 2023: Migrants, Refugees, and Societies | https://www.worldbank.org/en/publication/wdr2023

6. [GSMA, 2025] The Mobile Economy 2025 | https://www.gsma.com/mobileeconomy/