# APLYD (Applied AI for Institutional Scale)

> APLYD is the applied artificial intelligence practice born out of Athena Infonomics. It designs, delivers, and independently evaluates applied AI, decision intelligence, and digital public infrastructure for governments, multilateral institutions, global philanthropy, and social sector leaders across 98 countries.
>
> Full-text markdown knowledge base archive available at: [https://aplyd.com/llms-full.txt](https://aplyd.com/llms-full.txt)

APLYD bridges the critical gap between frontier AI technology and sovereign public-sector execution. Backed by 16+ years of empirical econometric evaluation heritage through Athena Infonomics, APLYD ensures that artificial intelligence deployments are evidence-led, economically validated, sovereign-compliant, and built for institutional ownership rather than perpetual vendor dependence.

## Core Pages

- [Homepage](https://aplyd.com/): Applied AI for government, multilateral donors, and social impact institutions. Features core trust metrics, institutional challenge diagnostics, and live portfolio telemetry.
- [Purpose & Direction](https://aplyd.com/about/purpose-and-direction): Mission, vision, and strategic thesis for embedded, evidence-led artificial intelligence in public institutions.
- [16 Years of Proof](https://aplyd.com/about/16-years-of-proof): Institutional track record, global footprint (440+ projects, 240+ institutions, 5 continents), and Athena Infonomics' bedrock capabilities.
- [How We Work](https://aplyd.com/about/how-we-work): Four core principles: embedded institutional delivery, sovereign handover, evidence-driven decisions, and structural independent assurance.
- [Built for Government](https://aplyd.com/about/built-for-government): Why public institutions partner with APLYD: operational realities, statutory workflow integration, data representativeness, and zero vendor lock-in.
- [Our Partners](https://aplyd.com/about/our-partners): Global delivery, research, and evaluation network spanning 23 regional partner organizations across 98 countries and 8 operating regions.
- [People & Leadership](https://aplyd.com/about/people): Multidisciplinary team across AI engineering, econometrics, public policy, and monitoring, evaluation, research, and learning (MERL).
- [Careers](https://aplyd.com/careers): Opportunities in applied AI engineering, public sector strategy, and independent algorithmic assurance.
- [Contact & Engagement](https://aplyd.com/contact): Direct engagement channels, institutional advisory scoping, and international office locations.

## Advisory & Practice Capabilities

- [Our Approach](https://aplyd.com/services/our-approach): Four-stage implementation lifecycle: Stage 01 Explore (Strategy & Direction), Stage 02 Design (Field & Delivery), Stage 03 Deliver (Design, Build & Scale), and Stage 04 Assure (Evaluation & Assurance).
- [Capabilities Overview](https://aplyd.com/services/our-capabilities): Practice matrix across public systems, nonprofit operations, and philanthropic capital allocation.
- [Government & Public Sector](https://aplyd.com/services/our-capabilities/government): AI portfolio and readiness diagnostics, public-service solutions, field evidence and service design, and durable institutional capability transfer.
- [Nonprofits & Multilaterals](https://aplyd.com/services/our-capabilities/nonprofits): Strategic prioritisation, frontline operations and partner copilots, responsible AI adoption safeguards, and programmatic learning at scale.
- [Philanthropy & Impact Investors](https://aplyd.com/services/our-capabilities/philanthropy): Portfolio-wide opportunity mapping, shared digital public infrastructure, grantee capability building, and independent algorithmic assurance.

## Applied AI in Action (Sector Deployments & Evidence)

- [AI in Action Overview](https://aplyd.com/ai-in-action): Live case studies and sector-specific AI implementations.
- [Agriculture & Climate](https://aplyd.com/ai-in-action/agriculture): Rythu Seva Kendras data-driven planning hubs in Andhra Pradesh and global farmer-centric data governance frameworks with the Bill & Melinda Gates Foundation.
- [Education & Skilling](https://aplyd.com/ai-in-action/education): Independent algorithmic evaluation of speech-based Oral Reading Fluency models across ~8,000 recordings with Wadhwani AI in India, and dropout early-warning systems in Guanajuato, Mexico.
- [MSMEs & Economic Growth](https://aplyd.com/ai-in-action/msmes): Small manufacturer AI readiness diagnostics, incentive designs, and adoption roadmaps for the MeitY IndiaAI Mission.
- [Public Services & Governance](https://aplyd.com/ai-in-action/public-services-government): Multilingual GenAI citizen service assistants across WhatsApp and Telegram integrated with municipal backends for Kampala Capital City Authority (KCCA), Uganda.
- [Utilities & Urban Systems](https://aplyd.com/ai-in-action/utilities): Shared AI testing sandboxes evaluated against real operational data for the Africa Utility Data Collaborative.
- [Monitoring, Evaluation & Responsible AI](https://aplyd.com/ai-in-action/monitoring-evaluation-responsible-ai): Domain-tuned AI evidence portals for MEL programmes (Gates Foundation), independent bias audits, and LMIC agrifood synthesis with 3ie and the University of Birmingham.

## Key Facts & Institutional Metrics

- **Origin**: Athena Infonomics (founded 2010), extending 16+ years of econometric evaluation and public policy advisory into applied artificial intelligence.
- **Recognitions**: Financial Times High-Growth Asia-Pacific Company (2021, 2022, 2025).
- **Global Track Record**: 440+ projects delivered for 240+ client institutions across 5 continents and 98 countries.
- **Multidisciplinary Team**: 120+ senior specialists spanning AI engineering, public finance, econometrics, public health, and algorithmic evaluation.
- **Partner Network**: 23 verified regional delivery, research, and evaluation institutions across 8 operating regions.
- **Global Delivery Hubs**: 7 international offices in Washington D.C. (Bethesda, MD), London (UK), Berlin (Germany), Nairobi (Kenya), New Delhi (India), Chennai (India), and Dhaka (Bangladesh).
- **Core Operating Principle**: Structural independence between AI delivery and AI evaluation — APLYD never evaluates systems built by its own group, nor bids to build systems it has evaluated.