System Capabilities
The Analysis Engine.
Policy Development
Formulating legislative structures using predictive data modeling rather than historic guesswork.
Gap Analysis
Identifying systemic inconsistencies via real-time statistical deviations and sentiment tracking.
Government Relations
Navigating shifting political landscapes with algorithmic mapping and strategic forecasting.
Issue-Based Advocacy
Orchestrating targeted campaigns to influence specific socio-economic variables.
Framework to Transform Fragmented Data into Defensible Decision Intelligence.
Advise
Grounding policy design in rigorous economic modeling and global benchmarking.
Build
Developing specialized decision-support systems for high-stakes leadership.
Deploy
Integrating cracked datasets into structured, predictive intelligence pipelines.
Measure
Assessing program potency through real-time feedback and outcome frameworks.
The Algorithmic Horizon
The Governance
Singularity.
The era of human guesswork in governance is over. Sankalp AI represents the theoretical maximum of systemic efficiency. By transitioning from qualitative advisory to quantitative execution, we project the following absolute capacities.
5+
government mandates
Completed policy consulting engagements across Indian states and international geographies, from welfare to digital public infrastructure.
713+
startup pool cleared
Shortlisted from 713 competing startups by the Kerala AI mission for two high-impact government POC mandates.
₹4.2B+
capital optimisation
Projected reallocation of mismanaged municipal resources via Sankalp's algorithmic governance and policy intelligence routing.
Zero
data silos tolerated
Our multi-agent architecture ingests heterogeneous government datasets—structured, unstructured, and multilingual—as a single intelligence layer.
Verified Impact · 2023–2025
Where Intelligence Meets Governance.
Documenting APEG and SANKALP AI’s most consequential work across techno-governance, welfare delivery, and public expenditure intelligence — where policy insight meets data-driven governance.
Field Impact | Beneficiary Reach | Resource Targeting
Policy Impact Assessment for Nomadic Community Welfare
State Social Welfare Ministry · Karnataka, India
A community improvement scheme for Nomadic and Semi-Nomadic communities was failing to reach its intended beneficiaries. APEG undertook a district-level impact assessment in Karnataka to baseline socio-economic conditions, expose grassroots delivery gaps, and redesign the programme for measurable livelihood improvement.
Key Contributions:
- District-level field impact and effectiveness assessment
- Community livelihood needs baseline across selected districts
- Improved resource allocation and beneficiary selection mechanisms
- Strengthened policy framework governing the scheme
Reduced leakage
Fund integrity
Targeted delivery
Beneficiary reach
Fraud Detection | Process Audit | Public Trust
Health Assurance Policy Review & Fraud Remediation
State Health Department · India
A state-led Health Assurance Programme designed to protect vulnerable populations was being eroded by rampant pilferage and fraudulent claims. APEG diagnosed systemic vulnerabilities and prescribed regulatory, operational, and technology-enabled remediation to restore integrity and public trust.
Key Contributions:
- Claim pattern analysis and fraud typology mapping
- End-to-end policy and process audit
- Accelerated adoption of technology-enabled controls
- Reinforced legal & regulatory deterrence framework
Curtailed fraud
Financial integrity
Restored trust
Public confidence
Domains of Influence
Focus Sectors.
PSUs / Government
Policy design, governance, program delivery
Private Sector
ESG, regulatory impact, sustainability transitions
Multilateral Agencies
Program planning, funding prioritization
Foundations & NPOs
Impact measurement and evaluation systems