[ORG] documents exist in French, English, Spanish, Portuguese, [langue Afrique 4], [langue Afrique 5], [national pays Caraibes] Creole, [langue pays Asie 1], [langue pays Caucase], [langue pays Asie 2], [langue AmLat]... No conventional search engine can look up a concept in all these languages at once.
| Function | Conventional database | Our EQΦS approach |
|---|---|---|
| Cross-language search | Impossible | Same vector whatever the language |
| Cross-project comparison | Manual and subjective | Automatic: cosine in $\mathbb{R}^{833}$ |
| Duplicate detection | Based on file names | Semantic: two similar tools in FR and ES are detected |
| Recommendation | Human memory | Automatic: "this tool from [African country 4] = 87% compatible with your project in [African country 11]" |
23 countries of active operation · 4 continents · A living network of [ORG] projects
Before we talk about technology, equations or future potential, here is the direct answer to your stated need.
"We have been carrying out projects in many countries for 50 years and we need to capitalize on the tools we have developed. My idea would be to have a platform (open to the public or semi-filtered depending on the case) to provide access to them, combined with a component for collecting cumulative and disaggregated data."
[Client X], [Organisation internationale]
| What you ask for | What we deliver | Included from V1 |
|---|---|---|
| Capitalize on the tools developed | Centralized document base. All formats: PDF, Word, Excel, scans, photos. Indexing, full-text search, filters by country / theme / period / donor / tool type. | yes |
| Platform open to the public or semi-filtered | 4 configurable access levels: Public (project sheets, results) · Partner (tools, templates) · Internal [ORG] (everything) · Management (strategic dashboards). Each document has its own visibility level. | yes |
| Collection of cumulative and disaggregated data | Structured input forms per project. Standardized indicators. Automatic aggregation by theme, country, period. Disaggregation by gender, age, urban/rural area, beneficiary type. | yes |
| Win over Senior Management | This document + a 2-3 page executive summary + a technical demonstration if needed. Quantified ROI, competitive comparison, deployment plan. | yes |
The rest of this document shows how far the platform can go beyond this initial request: mathematical scoring, cross-project comparison, country modeling, international expansion. These are options, not prerequisites. V1, from €25,000, already meets 100% of [Client X]'s request.
Codex φ v5.222 turns any document, whatever its language, into a universal mathematical vector. Mathematics has no language barrier.
The EQΦS process (Codex section 13.2):
Q(text) → semantic extraction → $\vec{V} \in \mathbb{R}^{833}$ → $\Lambda_{\text{EQΦS}}$ → human-readable output
Extraction is performed by intelligence (human or AI). Codex φ normalizes, scores, links and projects, independently of the source language.
| Language | Text | EQΦS vector (excerpt) |
|---|---|---|
| FR French | Taux de remboursement : 94,7% — femmes agricultrices | [0.947, 1.0, 0.82, 0.91, ...] |
| ES Spanish | Tasa de reembolso: 94,7% — mujeres agricultoras | [0.947, 1.0, 0.82, 0.91, ...] |
| [langue Afrique 4] | Taux remboursement: 94,7% — jigéen yu tóoñ | [0.947, 1.0, 0.82, 0.91, ...] |
No scanner, no specialized equipment. A [ORG] expert in the field ([capitale Afrique 4], [capitale AmLat 1], [capitale Asie 1]) takes a photo with their iPhone of the paper document. The photo is sent to the server. The system then:
The expert photographs the document
Automatic transfer to the secure server
Reading, extraction, vectorization
Filed, scored, linked, searchable
It is the same technology as depositing a cheque by photo through a banking app, except that here the system reads an entire document, in any language, rather than a single amount.
833 variables displayed: base variables + derived ones (logarithms, normalizations, ratios, quarterly changes, projections) + cross-terms. Hover for the detail; connected cells light up.
| Dimension | Variables | Aggregate score | Weight $w_i$ |
|---|---|---|---|
| Finance: Performance | N_loans, M_total, leverage, cost/benef. | 0.78 | 0.15 |
| Finance: Quality | Default rate, repayment rate | 0.95 | 0.12 |
| Gender: Parity | % women loans, % women graduates, parity score | 0.78 | 0.12 |
| Education | N_graduates, completion rate, graduates/loans ratio | 0.85 | 0.10 |
| Institutional | N_partners, gender policies adopted | 0.80 | 0.08 |
| Macro [Latin American country 1] | GDP, inflation, poverty, stability | 0.53 | 0.08 |
| Climate/ESG | Vulnerability, sustainable practices | 0.72 | 0.06 |
| Social impact | Direct/indirect beneficiaries, jobs | 0.60 | 0.06 |
| Geographic coverage | N_regions, % territory covered | 0.30 | 0.05 |
| Rural area | Rurality = 1.0 ([region pays AmLat 1]) | 1.00 | 0.05 |
| Partnerships | N_institutions, diversity | 0.50 | 0.05 |
| Operational | Experts mobilized, reports, duration | 0.53 | 0.08 |
Scenario: the default rate rises from 5% to 10%. What happens in the system?
6 of 12 dimensions are affected:
| Dimension | Before | After | Change | Why |
|---|---|---|---|---|
| Finance: Quality | 0.95 | 0.90 | -5.3% | Direct impact of the default |
| Finance: Performance | 0.78 | 0.74 | -5.0% | Financial leverage weakens |
| Social impact | 0.60 | 0.56 | -7.0% | Struggling beneficiaries are affected |
| Partnerships | 0.50 | 0.48 | -5.0% | Partner institutions lose confidence |
| Institutional | 0.80 | 0.78 | -3.0% | Governance comes under pressure |
| Operational | 0.53 | 0.56 | +5.0% | Management costs rise (recovery) |
| Projects compared | Similarity | Why |
|---|---|---|
| [Projet A] ([Latin American country 1]) ↔ [Projet B] ([Latin American country 2]) | 0.89 | Women + microfinance + Latin America |
| [Projet A] ↔ [Projet G] ([African country 4]) | 0.72 | Women + inclusion, different continents |
| [Projet A] ↔ [Banque cooperative locale] ([Asian country 1]) | 0.51 | Inclusion but a very different approach |
Everything stays on the [ORG]/[Organisation] server, and no data leaves [Pays domicile]
Proprietary EQΦS algorithm under license · AES-256 encrypted data · Worldwide access via HTTPS
Zero external cloud. [Pays domicile] server = native [loi protection donnees nationale] compliance.
TLS 1.3 in transit · AES-256 at rest · Beneficiary data protected.
Licensed algorithmic engine. Source code never exposed.
Public · Partner · Internal [ORG] · Management. SSO compatible.
Every action logged. Traceability for donor audits.
Standard browser. [Ville] · [capitale Afrique 4] · [capitale AmLat 1] · [capitale Asie 1]. HTTPS.
| Regulation | How we meet it |
|---|---|
| [loi protection donnees nationale] ([Pays domicile]) | [Pays domicile] hosting, consent, right of access, data minimization |
| [Loi protection donnees provinciale]) | Built-in [Etude facteurs vie privee], incident register, privacy officer |
| GDPR (for EU partners) | Right to erasure, portability, assignable DPO |
| Local laws (65 countries) | Raw data stays in [Pays domicile]. Only aggregated, anonymized summaries are accessible through the portal. |
Why it is critical: [ORG] data contains information about vulnerable populations (women farmers, micro-borrowers, unbanked youth) in 65 countries. Hosting this data on an [Organisation] server in [Pays domicile] provides the highest level of legal protection available.
| # | Country | $\Omega$ | Market | Key assets |
|---|---|---|---|---|
| 1 | [African country 1] | 0.67 | 8M unbanked | [ORG] already present, French, strong mobile money |
| 2 | [African country 13] | 0.60 | 0.5M unbanked | 96% inclusion, +9.2% GDP, 491 MFIs, FR/EN |
| 3 | [African country 9] | 0.35 | 15M unbanked | Reforms, 75% target by 2030, French |
| 4 | [Latin American country 5] | 0.32 | 2.5M unbanked | Strong cooperatives (21%), agricultural credit 14% |
Farmer, 34, [region pays AmLat 1], [Latin American country 1]
Her anonymously vectorized profile enriches the disaggregated data. Every "Maria" improves future programs for women in her situation, anywhere in the world.
[Reseau microfinance international], 15 years of experience
Launches a women's credit program. The platform automatically recommends the [Projet A] tools (0.72 similarity), even though the documents are in Spanish.
Latin America zone, 8 years at [ORG]
Prepares a call for proposals for [Latin American country 4]. In 2 hours instead of 3 weeks: benchmarks, tools, disaggregated data. All sourced and standardized.
Evaluates [ORG] proposals
Accesses the public portal. Sees the consolidated results of 700 projects with verifiable EQΦS scores. [ORG] credibility rises significantly.
Strategic vision of the [Mouvement cooperatif] components
A single dashboard: [ORG] assets, 65-country coverage, social impact, ESG alignment, ROI per dollar invested. Global EQΦS score in real time.
| Institution | Assets | ROE | CET1 | Type | Λ score |
|---|---|---|---|---|---|
| [Banque 4] | $2,100 billion | 17.0% | 13.3% | Bank | 7.62 |
| [Banque 1] | $1,950 billion | 12.8% | 13.2% | Bank | 7.22 |
| [Banque 5] | $1,350 billion | 12.5% | 13.3% | Bank | 6.81 |
| [Organisation] | ~$500 billion | ~9% | ~24% | Cooperative | 6.73 |
| [Banque 2] | $1,400 billion | 11.0% | 13.1% | Bank | 6.70 |
| [Banque 3] | $950 billion | 14.1% | 13.5% | Bank | 6.60 |
| [Banque nationale 1] | $450 billion | 13.5% | 13.8% | Bank | 5.88 |
[Organisation] ranks 4th out of 7 in overall EQΦS score, ahead of [Banque 2], [Banque 3] and [Banque nationale 1]. Its ROE (~9%) is the lowest but its CET1 (~24%) is by far the highest: several times the regulatory minimum. The cooperative model weighs on profitability but massively strengthens resilience.
Each bubble = one risk. Position = probability (horizontal axis) × impact (vertical axis). Size = combined score. The 3 major risks for 2026: geopolitics (US tariffs, conflicts), cyber (state-sponsored attacks, malicious AI) and climate (extreme events). Sources: [Global Risks Report], [Agence notation 1], [Agence notation 2], [Regulateur banques national], [Cabinet conseil 3].
The [ORG] capitalization platform appears under Opportunities: it directly addresses the "[ORG] not capitalized" weakness and reinforces the "Unique [ORG]" and "ESG leader" strengths. It is a strategic investment that fixes a weakness and amplifies strengths at the same time.
[ORG] represents USD $64.8 million in a $235 billion market, or 0.03% by volume. But its impact is qualitative: 700 projects in 65 countries over 55 years, methodologies that have transformed millions of lives, and a network ([Reseau microfinance international]) that shares best practices among institutions in 30 countries.
The global microfinance market grows by 12.5% per year. Africa and the Middle East are the fastest-growing regions (13.2% CAGR). [ORG] is positioned exactly there, with 13 active projects in Africa. The capitalization platform would let it capture a larger share of this growth by reusing existing tools instead of recreating them.
Sources: [etude marche C], [etude marche 5], [etude marche D], [Bailleur multilateral] ([Indicateur inclusion financiere] 2021), [Fonds] report 2023-2024.
[Organisation] global EQΦS score
Both scores exceed φ² = 2.618 (the excellence threshold). The platform strengthens an already solid ecosystem: it does not create it, it amplifies it.
Today, [ORG] knowledge is scattered across 65 countries with no indexing. With the platform, it is centralized, scored and accessible. This is the most spectacular improvement: the score moves from 0.20 (critical) to 0.85 (excellent).
The ~9% ROE is the lowest in the sector. Productivity gains (~$515k/yr) and additional projects (~$864k/yr) improve the revenue/cost ratio. Projection: ROE could rise to ~10.8%.
36% of the [Province domicile] market = saturation. [ORG] expansion into new countries ([African country 13], [African country 1]) diversifies geographically, even though the impact on total [Organisation] remains modest ([ORG] = 0.04% of assets).
Expenses of $10.6 billion weigh on efficiency. Automated ESG reporting, fewer duplicates and [ORG] efficiency each contribute modestly to improving this ratio.
[ORG] is already unique (65 countries, 55 years). But without a platform, this experience is under-used. With capitalization, it becomes a demonstrable, exportable asset. The score jumps from 0.65 to 0.90.
EQΦS scoring improves the selection of microfinance institutions before investment. Better selection = fewer defaults = estimated return +1.5% on $64.8 million. That is ~€933k of annual gain on the fund.
[Organisation] is already 2nd in [Pays domicile] for digital NPS ([App mobile-1], [App IA-1]). The [ORG] platform adds an innovation no one else offers: the mathematical vectorization of international development knowledge.
[Organisation]'s ESG reporting will be fed automatically by [ORG] data. Impact indicators (52.6% women clients, 9,446 jobs, carbon neutral) become verifiable in real time.
Every retirement, every project closure takes knowledge away. At 5%/yr, [ORG] loses 40% in 10 years. The platform brings this loss down to 1%/yr → only 10% lost in 10 years. Heritage saved: ~$32 million [devise nationale].
Donors ([Bailleur national 1], [Bailleur multilateral]) increasingly require proof that lessons learned are capitalized. Without a platform, [ORG] is exposed. With one, it becomes the first organization in the sector with a tool of this level, a clear advantage in calls for proposals.
Fintechs ([Fintech concurrente], etc.) threaten domestic market share. But no fintech offers the capitalization of 55 years of international development knowledge. It is a unique positioning that technology alone cannot replicate.
| # | Advantage | Why it is unique |
|---|---|---|
| 1 | Universal mathematical vectorization | No document management system, SharePoint or Bloomfire turns documents into mathematical vectors that can be compared across languages. This is our proprietary technology (Codex φ). |
| 2 | Scoring of each project on 12+ dimensions | Every [ORG] project receives an objective, quantified Λ score. 700 projects comparable with each other, whatever the country or language. |
| 3 | Predictive country modeling | 34 variables per country to identify expansion opportunities BEFORE investing. A calculated Omega score, not intuition. |
| 4 | Automatic detection of gaps and duplicates | The system identifies where tools are missing, where duplicates exist between countries, and where impact is sub-optimal. |
| 5 | Protection of intergenerational knowledge | 55 years of knowledge protected from erosion: loss rate reduced from 5%/yr to 1%/yr. $32 million of heritage saved. |
| 6 | Self-hosted and secure (native [loi protection donnees nationale]) | Data on vulnerable populations hosted in [Pays domicile]. No American cloud. C.O.O. core under license. |
| 7 | Cost 40 times lower than the SaaS market | Our V1 from €25,000 vs Bloomfire at $790k over 5 years, and our solution does far more thanks to EQΦS scoring. |
The platform is not an IT tool. It is a strategic lever that fixes weaknesses, amplifies strengths, mitigates threats, and repositions [ORG] as the nerve center of inclusive finance innovation within [Organisation].
V1, from €25,000, meets the initial request. But the EQΦS system opens much broader possibilities, depending on the budget and the ambitions of Management. Everything that follows is optional.
A tool created in [African country 4] is automatically recommended in [African country 1]. 40-50 hours saved per reused tool.
In 2 weeks instead of 6. Benchmarks, impact data and methodologies are ready in the platform.
Dashboard per project: financial, gender and impact KPIs, compared with EQΦS benchmarks from similar projects.
If an indicator drifts, the system alerts you AND recommends solutions already applied in similar projects.
[ORG] data feeds the [Organisation] ESG report. Manual collection becomes a thing of the past.
The [Fonds] fund ($88 million) benefits from EQΦS scoring to assess MFIs before investing.
Field innovations (mobile scoring, [App education financiere]) brought back into [Organisation] [Pays domicile] products.
Data-driven storytelling: "24,895 loans, 81% women, ×20.8 leverage" rather than vague words.
Identify the countries with the highest potential ($\Omega$). Lower the entry risk. Maximize reuse.
Validate what works in which countries and why. Adapt tools to the local context (legislation, religion, norms).
Every capitalized tool = one more commercial argument with donors and partners.
Public showcase portal with an interactive map of [ORG] projects and real-time impact data.
Our costs stay low because AI accelerates development: for €25,000, we deliver the equivalent of 600 hours of conventional development. Your budget funds the platform itself, with no software license and no costly framework. All languages are included, since AI handles them natively. Final pricing depends on your actual needs and specific requests.
Document base + EQΦS scoring: 100% of [Client X]'s request
Recurring: €8,000-12,000/yr
V1 + full EQΦS engine + expansion
Recurring: €15,000-25,000/yr
V2 + automatic AI extraction
Recurring: €25,000-40,000/yr (includes AI infrastructure)
The base prices cover the technical development of the platform. Depending on your specific needs, additional options can be added:
| Option | Description | Estimate |
|---|---|---|
| Collection and digitization | If paper documents need to be digitized or archives retrieved from country offices ([capitale Afrique 4], etc.). Depends on volume and location. | To be assessed after the audit |
| Field travel | On-site missions ([Ville], [capitale Afrique 4], country offices) for audit, workshops, collection, training. Travel, accommodation and per diem billed in addition. | At cost |
| Team training | Training sessions for users ([Ville] + [capitale Afrique 4] at minimum). Remote training is possible. | from €2,000/session |
| Dedicated contact | A dedicated project manager on the EQΦS (EQPhiS) Asia side for follow-up, coordination and regular exchanges. | Included in the base price |
| Hosting | If [ORG] wishes to host on its own servers: installation and configuration. If hosting is managed by us: included in the recurring fee. | Installation on your side: from €3,000 |
| Dual public/internal system | Separate architecture with a public portal (project sheets, results) and a secure internal space (sensitive data, tools, beneficiaries). Reinforced security between the two. | Included from V1 (4 access levels) |
| [Organisation] SSO integration | Connection to the authentication system of the [Mouvement coopératif] (if desired). | from €5,000 |
| Migration of existing data | If [ORG] already has databases or structured files to import into the platform. | Depends on volume and formats |
| API for third-party systems | Connectors to existing [ORG] or [Organisation] tools (CRM, reporting tools, etc.). | from €5,000 per connector |
| Automatic impact report | Automatic generation of formatted reports for donors ([Organisation internationale], [Bailleur multilateral], etc.). | Included in V2 and V3 |
| Priority support | Guaranteed response time, on-call cover, priority updates. | from €5,000/yr |
Important note: these options will be refined and priced precisely during the scoping meeting. Some are already included in the base prices (access levels, dedicated contact). Travel costs are always billed at cost.
| Solution | 5-year cost | EQΦS scoring | Cross-language | Self-hosted | Fit for [ORG] |
|---|---|---|---|---|---|
| SharePoint | $132k [devise nationale] | No | No | No | Partial |
| Bloomfire | $790k [devise nationale] | No | Yes (AI) | No | Partial |
| Our V1 | ~€65k | Yes | Yes | Yes | Yes |
| Our V2 | ~€175k | Complete | Yes | Yes | Yes |
A comparison of what [ORG] invests (our service) against what [ORG] gains (savings + additional revenue). According to our projections, all 3 versions are potentially profitable from the first year, to be confirmed with real [ORG] data.
| Source of gain | Type | Low scenario | Medium scenario | High scenario |
|---|---|---|---|---|
| DIRECT SAVINGS | ||||
| Expert time freed | Savings | ~€169k | ~€348k | ~€439k |
| Duplicates avoided | Savings | ~€34k | ~€70k | ~€101k |
| Faster call responses | Savings | ~€34k | ~€68k | ~€101k |
| ESG reporting | Savings | ~€10k | ~€18k | ~€27k |
| POTENTIAL REVENUE | ||||
| Additional projects won | Direct revenue | ~€243k | ~€584k | ~€973k |
| Optimized [Fonds] fund | Direct revenue | ~€466k | ~€933k | ~€1,865k |
| Expansion into new countries | Direct revenue | ~€135k | ~€262k | ~€405k |
| Donor credibility | Indirect revenue | ~€68k | ~€338k | ~€676k |
| ESTIMATED TOTAL / YEAR | ~€1.2 million | ~€2.6 million | ~€4.6 million | |
| Cumulative potential over 5 years | ~€5.1 million | ~€11.5 million | ~€20.2 million | |
Low scenario: slow adoption, few new calls, [Fonds] yield only slightly improved. Medium: normal adoption, parameters calculated from [ORG] data. High: fast adoption, [ORG] fully leverages capitalization for expansion and scoring. The amounts are mathematical projections (Codex φ v5.222), not guarantees. They must be refined with real [ORG] data.
| Heritage value (not included above) | Amount | Explanation |
|---|---|---|
| Knowledge heritage preserved | ~$32 million [devise nationale] over 10 years | Difference between 40% of knowledge lost (without a platform) and 10% (with one). Estimated value of [ORG] knowledge: $105 million. This is not a direct financial gain but a preserved strategic asset. |
| V1: Essential | V2: Analytical | V3: Intelligence | |
|---|---|---|---|
| Development | from €25,000 | from €50,000 | from €125,000 |
| Annual recurring | ~€6,000/yr | ~€15,000/yr | ~€25,000/yr |
| Cumulative 5-year investment | ~€49,000 | ~€110,000 | ~€225,000 |
| Annual gains (full run rate) | ~€485,000/yr | ~€599,000/yr | ~€689,000/yr |
| Cumulative 5-year gains | ~€2.1M | ~€2.6M | ~€3.0M |
| Net 5-year gain | ~€2.1M | ~€2.5M | ~€2.7M |
| Payback | ~1.5 months | ~4 months | ~7 months |
| 5-year ROI | 4,256% | 1,985% | 1,217% |
[Client X] + EQΦS team. Presentation, alignment on scope.
Integration of feedback. 2-3 page executive summary.
[Client X] presents. Technical demo available if needed.
4-6 weeks. Real volumes, formats, condition. Refined budget. Commitment limited to this phase.
Progressive delivery with interim demos.
Launch. Training. Progressive collection.
| Indicator | Value | Assessment |
|---|---|---|
| People impacted | 2,000,000 | Exceptional: the largest [ORG] project |
| [Cooperatives credit pays Asie 1] equipped with e-banking | 948 (86% of the network) | Excellent: nearly the entire network |
| Annual remittances (money transfers) | $166 million [devise nationale] / yr | Massive volume, direct economic impact |
| Entrepreneurs trained via [App education financiere] | 12,883 (60% women) | Excellent: parity + digital |
| Agricultural / business loans obtained | 7,960 | Good |
| People who improved their living conditions | 28,000+ | Excellent: measurable impact |
| Share of women entrepreneurs | 60% | Excellent: exceeds parity |
| Project duration | 8 years (2016-2024) | Long term: sustainability demonstrated |
| Network coverage | 948 branches across [Asian country 1] | National coverage |
| Application developed | [App education financiere] (financial education) | Digital innovation |
This sheet is an example of what the platform would generate automatically for each of the 700+ [ORG] projects. The data shown is real (public sources). Documents are estimated based on the usual deliverables of an [ORG] project of this scale. The buttons are mockups; in production, they would be fully functional.
| Indicator | Target official or EQΦS projection | 2024 | 2023 | 2022 |
|---|---|---|---|---|
| Total amount committed (USD) | $80 million | $64.8 million | $37.0 million | $37.0 million |
| Institutions supported | 40 | 14 | 9 | 3 |
| Countries covered | ~15 (EQΦS proj.) | 9 | 6 | 2 |
| People supported | ~45,000 (EQΦS proj.) | 21,705 | 12,632 | 1,765 |
| % women clients | ~55% (EQΦS proj.) | 52.6% | 53.8% | 52.3% |
| Outstanding loans to women (USD) | ~$18 million (EQΦS proj.) | $7.3 million | $2.7 million | 0 |
| % of outstanding loans to women | ~55% (EQΦS proj.) | 49.5% | 46.2% | 0% |
| Jobs created/maintained | ~15,000 (EQΦS proj.) | 9,446 | 6,023 | 2,924 |
| % women employed in FIs | ~60% (EQΦS proj.) | 57.6% | 49.9% | 51.3% |
| FIs with a formalized gender policy | ~12 (EQΦS proj.) | 3 | NA | NA |
| Average [Outil rating microfinance 1] score of FIs | ~75/100 (EQΦS proj.) | 68.9 | NA | NA |
| Technical assistance provided | ~40 (EQΦS proj.) | 24 | 1 | NA |
| FIs with environmental products | ~70% (EQΦS proj.) | 53.8% | 55.6% | 33.3% |
EQΦS proj. = projection calculated by Module M33 (Fractal Anticipation) of Codex φ v5.222, based on 2022→2024 trends. Growth is weighted by the golden ratio with $\varphi^{-n}$ damping (increasing caution). These projections do not replace [ORG]'s strategic objectives; they are a tool to support thinking.
Sources: [Fonds] Fund impact report 2023-2024 ([ORG] / [Gestionnaire fonds].) · Cooperation [Pays domicile] Award 2024: Organizational innovation and impact · Partners: [Organisation internationale], [DFI national] [Pays domicile], [Reseau impact investing], [Reseau investissement responsable] · Measurement tools: [Outil rating microfinance 1] + [Outil mesure ESG] (82 indicators), [Outil rating microfinance 2] ([Agence rating microfinance]) · [Lab universitaire] hub [Universite [Pays domicile]]
[ORG] holds a heritage of 55 years of knowledge in inclusive finance, spread across 65 countries in 20+ languages. This heritage erodes by 5% per year. For an investment from €25,000 (excluding options and additional fees), this platform turns it into a permanent strategic asset and a driver of business development.
| Option | Investment | Outcome |
|---|---|---|
| Status quo | €0 | $42 million of knowledge lost over 10 years. Chronic inefficiency. |
| V1: Essential | from €25,000 | Operational document base, EQΦS scoring, smartphone collection |
| V2: Analytical | from €50,000 | Structural transformation + international expansion engine |
| V3: Intelligence | from €100,000 | Global nerve center of [ORG] capitalization |
Start with V1 from €25,000 to get an operational tool quickly on the existing digital documents, then move to V2 for the full analytical engine.
Contact: EQΦS (EQPhiS) Asia · [Cabinet conseil]
This document is a first approach built on public data. Its purpose is to show you what our EQΦS mathematical system can bring to [ORG], and to make you want to go further.
With your real data, we can be considerably more precise: score your 700 projects, identify the exact gaps, quantify the gains on your actual volumes, and build a platform tailored to your needs.
We are fully at your disposal for an in-depth discussion to better understand your needs, refine this proposal, and present a concrete, detailed offer.