AI-powered screening and investment platform for impactful, evidence-based deal flow in emerging markets.

what it is
ImpactX pairs a rigorous, evidence-based impact scoring engine with a curated marketplace of pre-vetted opportunities — an essential layer in the institutional due-diligence stack for capital allocators active across the Middle East, Africa, and Southern Asia (MEASA).
Engine
Built on TIL's proprietary Signature Impact Framework — every score traces to peer-reviewed evidence and country-level data.
Marketplace
GPs submit deals; LPs discover, analyze, and benchmark. TIL adjudicates every assessment before publication.
Focus
Designed for MEASA markets where impact matters most, evaluating potential before capital is deployed (IFC Principle 4).
how it works
Our AI reads investment memos, extracts key attributes, and applies TIL's rigorous Signature Impact Framework to produce an evidence-based impact assessment accessible to investors on the platform.
upload
GP uploads investment memo (PDF) and selects intervention type, beneficiary type, geography, fund size, and target return.
ai engine
Vision-enabled multi-agent system extracts sub-indicators, SDGs, IRIS+ theme, and qualitative scores — each with cited evidence.
sif scoring
Impact Risk derived from the Signature Impact Database. Impact Intensity ranks the country globally against all GFSI countries. RAIS = Risk × Intensity.
scorecard
AI-drafted impact narrative + market context. Complete scorecard reviewed by TIL, then published to LP marketplace.
Manually reviewed by TIL
Every investment submission is manually reviewed by the TIL research team. We verify that all information is factually correct and conduct an initial due diligence questionnaire on the GP, fund, and project to ensure quality and avoid spam.
the framework
Every business creates a unique, measurable effect on specific societal outcomes — its Signature Impact. The Signature Impact Framework is an evidence-based model for measuring and benchmarking it consistently across investments.
01
Academic-leaning approach grounded in peer-reviewed literature, journals, and reports from internationally recognized institutions
02
Measures contribution against peer-country baselines — the same intervention carries different significance depending on need.
03
One framework, broadly applicable across impact verticals while retaining vertical-specific nuance.
04
Grounds expected impact in empirical success rates of comparable interventions — evidence is an explicit input.

the database
The Signature Impact Database is a proprietary literature repository reviewed by TIL researchers for every IRIS+ vertical covered that translates peer-reviewed evidence on real-world interventions into structured, quantifiable inputs for the Signature Impact Framework.
The database enables the assessment of impact risk for any given intervention, while also identifying the appropriate KPIs to measure its impact intensity. Together, these two pillars generate a risk-adjusted impact score for each intervention, allowing for consistent comparison across projects and investment opportunities.
A single, risk-adjusted measure of anticipated impact that combines the likelihood of success with the scope for improvement in the target country.
Empirical likelihood that a similar intervention generates positive, measurable impact, derived from the Signature Impact Database.
Risk-Adjusted Impact Score
A single, risk-adjusted measure of anticipated impact that combines the likelihood of success with the scope for improvement in the target country.
tier system
Tier boundaries are calibrated against the empirical distribution of the Signature Impact Database, anchoring every score to a stable, citable reference.
Top Quartile
(≥ 75th pctile)
Strong evidence-based impact potential
Above Median
(50th – 75th pctile)
Solid impact potential
Below Median
(25th – 50th pctile)
Moderate impact potential
Bottom Quartile
(< 25th pctile)
Limited evidence-based impact potential
the output
Output specification: ten structured sections, every claim citing source evidence.
Pakistan (Southern Asia) · Food Logistic & Delivery, Food Safety · Farmers, SMEs, Rural
A growth-stage PE fund investing in companies that modernize Pakistan's informal dairy value chain — targeting 300,000 dairy farming households.
SDG Alignment
Region
Southern Asia · 10 of 15 historically impactful
Beneficiary
Farmers 59% · SMEs 100% · Rural 80%
Intervention
Food Logistics 88% · Food Safety 60%
Impact Risk
P(region) × P(beneficiary) × P(intervention)
Inverse percentile rank against all GFSI countries (higher = more room for impact)
Risk-Adjusted Impact Score (RAIS)
19.4
39.3% probability × 49.3 intensity
workflows
Distinct workflows for fund originators and institutional investors, mediated by TIL adjudication.
fund originator
Submits deals and engages prospective LPs.
UPLOAD
Investment memo (PDF) plus fund metadata
CLASSIFY
Select intervention and beneficiary types
SCORE
Receive complete RAIS scorecard in ~2 min
TRACK
Monitor all deals via the GP Dashboard
ENGAGE
Respond to LP inquiries directly in-app
institutional investor
Discovers, evaluates, and benchmarks scored deals
DISCOVER
Browse scored deals as summary cards
ANALYZE
Deep-dive into RAIS with cited evidence
COMPARE
Place 2-3 deals side-by-side
CONNECT
Contact GP or request documents
EXPORT
Export assessment as a formatted memo
Adjudication
Every deal independently reviewed by TIL researchers prior to LP visibility.
Upload an investment memo and receive a comprehensive SIF assessment in under a minute.