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PROVEN RESULTS

Real Impact

Real-world AI implementations delivering measurable business impact across real estate, financial services, agriculture, hospitality, supply chain, and more.

CASE STUDY 001

Real Estate Marketing Automation

AI-driven content automation platform for a Minneapolis real estate company, replacing expensive manual video production with a fully automated pipeline that generates listing videos and Instagram Reels for every property.

Challenge

Professional listing videos costing $1,500 each and Instagram Reels at $750 per shoot. At 120 listings per year, manual content production would consume $270,000/year before reaching buyers.

Solution

End-to-end automated pipeline: AI researches and scripts each listing, renders a branded video, produces a 25-second Reel. Publishes to all platforms simultaneously.

Outcome

Targeting 88%+ reduction in content production costs at scale. Every listing can receive a full multimedia package (video, Reel, article) within hours of going live, at a fraction of agency rates.

88%

Cost Reduction

3

Content Pieces Per Listing

120

Listings/Year Scale

Listing Feature Videos

Professional 2–3 minute YouTube videos generated automatically for every listing, complete with voiceover, music and branded graphics.

Instagram Reels & TikTok

25-second short-form video content created in parallel, formatted for Instagram Reels and TikTok distribution without additional production time.

Multi-destination Publishing

Automated distribution to YouTube, Instagram and article platforms simultaneously. One listing triggers the full content pipeline.

CASE STUDY 002

Autonomous Agents for Blockchain Fairness

First-of-its-kind integration between Olas and Isotropic Solutions (with Shutter Network), deploying AI-driven autonomous agents for MEV prevention and transaction ordering experiments on encrypted mempools.

Challenge

MEV extraction and front-running attacks degrading transaction fairness on decentralized exchanges. No algorithmic solution existed at enterprise scale.

Solution

Deep Reinforcement Learning agents (DDPG + PPO) simulating MEV strategies, paired with Shutter Network threshold encryption for encrypted transaction ordering experiments.

Outcome

A first-of-its-kind AI-driven MEV prevention framework, demonstrated across 3M+ agent transactions on live Ethereum infrastructure.

3M+

Agent Transactions

AI-Driven Simulation

Deep Reinforcement Learning agents (DDPG and PPO) simulating MEV strategies and transaction ordering.

MEV Protection

Threshold encryption technology preventing front-running and enhancing transaction fairness across EVM chains.

Real-time Analytics

Apache Spark-powered analysis with customizable dashboards for monitoring agent performance.

CASE STUDY 003

P&L Attribution & Adjustment Summarizer

AI-powered financial automation for a major institution, revolutionizing daily P&L reconciliation with intelligent analysis and automated reporting.

Challenge

Finance Controllers spending 3–4 hours daily reconciling P&L across trading books and back-office accounting. Complex breaks creating regulatory audit exposure.

Solution

Transformer-based AI for automated multi-source reconciliation: intelligent break detection with contextual understanding and automated adjustment documentation with full audit trails.

Outcome

Designed to deliver up to 75% reduction in daily reconciliation time: from 3–4 hours to under 1 hour, with 99%+ accuracy and a complete audit trail supporting regulatory compliance.

75%

Time Reduction

99.8%

Accuracy

3x

Efficiency Gain

Financial Accuracy

AI-powered analysis addressing discrepancies between front office, risk systems, and back office reporting.

Intelligent Analysis

Automated break detection with contextual understanding using transformer-based models.

Automated Documentation

Full summaries with adjustment rationales for transparent, auditable reporting.

CASE STUDY 004

Hospitality CapEx Automation

Full CapEx processing and procurement automation for a major hospitality client, handling complex procurement requirements across different CapEx types.

Challenge

Multi-property CapEx approvals requiring 4–6 weeks of manual coordination across finance and procurement. 90% of effort spent on data collection and routing rather than decisions.

Solution

MS Teams-integrated multi-agent system: CapEx Request Agent guiding intake, RFP Creator Agent automating supplier selection. Performance Monitor tracking end-to-end metrics.

Outcome

Targeting up to 93% reduction in processing time, 90% less manual coordination effort, and 99%+ process consistency across all CapEx types and properties.

93%

Time Savings

90%

Reduced Dependency

99%

Process Consistency

CapEx Request Agent

MS Teams integration guiding users through the process, collecting necessary information based on CapEx type.

RFP Creator Agent

AI-powered system to automatically create RFPs, select suppliers, and distribute to vendors.

Performance Monitor

AI-enabled platform to measure and analyze end-to-end process performance, then generate reports.

CASE STUDY 005

Precision Agriculture

Advanced drone imagery analysis for crop management and yield optimization, utilizing computer vision and machine learning for actionable agricultural insights.

Challenge

Crop health issues and sub-optimal input usage requiring expensive manual scouting across large acreage. Impossible to detect and respond to at operational speed and scale.

Solution

Drone imagery analysis with 5 specialized AI agents: Plant Density Analyzer, Vegetation Health Monitor, Crop Stress Detector, Supply Chain Assistant, Disaster Advisory.

Outcome

Real-time crop intelligence at field scale, enabling precision input targeting and early stress detection. AI-driven advisory for all farm operators across any connected device.

Plant Density Analyzer

Accurately counts plants in specified areas and compares to expected outcomes for informed decision making.

Vegetation Health Monitor

Identifies condition and lushness of vegetation to determine optimal fertilization locations and needs.

Crop Stress Detector

Locates stress zones where crops are affected by disease or drought for proactive management.

Clients & collaborators

Banks, governments, commodity traders, and protocol teams have put this work into production.

Vietnam International BankCentral Bank of OmanETG WorldKonza TechnopolisTrika TechnologiesThought FrameworksShutter NetworkOlas NetworkTensorplex AIW3 Strategic Management Services
93%

faster capital approval cycle

75%

less time reconciling the books

3M+

agent transactions delivered

Start with one agent.

Tell us where the work hurts. We'll name the first agent worth building and what it takes to prove it.

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