What We Do

At IntelliAct LLC, we deliver comprehensive AI-driven solutions that catalyze digital transformation across industries. By integrating Machine Learning (ML) and Deep Learning (Vision/CNN/RNN) to Reinforcement Learning (RL) and Agentic RAG, we transform enterprise processes into intelligent, autonomous systems by eliminating toils. Our solutions optimize infrastructure through predictive maintenance, revolutionize customer engagement leveraging Generative AI, and accelerate innovation in complex fields like healthcare and energy. With human-centric and human-in-the-loop (HITL) approaches, we consistently drive double-digit growth, substantial OPEX savings, and superior operational efficiency.

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Industries

A busy telecom control room with AI data overlays on multiple screens.

We are transitioning the service providers to "zero-touch" autonomous networks and intelligent subscriber management through the integration of Agentic AI, GenAI, and real-time predictive analytics.

ML for Predictive Maintenance: Analyzing telemetry to forecast hardware failures before they impact grid stability.
DL for Network Slicing: Neural networks automating real-time 5G resource allocation for low-latency applications.
Generative AI for Network Design: LLMs synthesizing 3GPP standards to automatically generate site configurations and code.
NLP & Conversational AI: Intelligent agents resolving complex billing and technical issues via intent and sentiment analysis.
ML for Churn Prediction: Identifying at-risk users to trigger automated, personalized retention offers via GenAI.
Agentic RAG for Field Techs: Providing crews with natural language access to technical manuals and logs to accelerate repairs.
RL for Traffic Steering: Reinforcement Learning dynamically routes multi-vendor traffic to ensure optimal Quality of Service.
CNN for Infrastructure Monitoring: Using computer vision on drone footage for automated inspection of cell towers.

Retail AI

Telecom AI

The following are the industries that we currently cover and are in the process to scale into other sectors.

Our solutions transform the retail industry value chain from static inventory to high-velocity, intent-driven commerce via Agentic AI and hyper-personalization.

Agentic RAG: LLMs grounded in real-time inventory and customer history provide hyper-personalized shopping assistance.
Vision AI (CNN): Computer vision for automated shelf-monitoring and image-based product search.
Reinforcement Learning (RL): Adjusting prices in real-time based on competitor moves and demand elasticity.
RNN: Analyzing historical sales data to predict seasonal trends and demand patterns.
NLP: Sentiment analysis of reviews to automatically drive product improvements.
Generative AI: Automating high-converting product descriptions and personalized marketing assets.
ML: Forecasting stock requirements to reduce overhead and minimize stockouts.

We are building resilient, self-healing grids by merging Multimodal AI and Edge computing for proactive infrastructure management.

ML: Analyzing sensor telemetry to predict hardware failure before it impacts the power grid.
RNN: Predicting energy demand patterns to optimize distribution and prevent blackouts.
Agentic AI: Autonomous multi-agent systems orchestrating distributed energy resources for peak load balancing.
Vision AI (CNN): Drones using computer vision to identify structural damage on power lines.
Agentic RAG: Field crews querying technical manuals via natural language to resolve issues instantly.
RL: Optimizing industrial battery charging cycles to maximize grid efficiency.
LLM: Summarizing complex energy regulations to ensure continuous grid compliance

We are empowering the "Dark Factory" vision through autonomous systems and computer vision to create self-optimizing workflows.

Vision AI (CNN): Real-time defect detection on assembly lines ensuring zero-error production.
Generative AI: Generating simulation code for digital twins to test floor reconfigurations virtually.
Agentic RAG: Maintenance teams retrieving complex repair steps from massive manuals via voice.
RL: Optimizing robotic arm movements for increased production speed and precision.
ML: Forecasting raw material shortages to automate procurement workflows.
RNN: Predicting motor failures through time-series vibration and acoustic analysis.
NLP: Processing voice logs to detect and report floor safety incidents in real-time.

Our solutions are redefining relationship banking through GRC automation and proactive, AI-driven fraud and risk intelligence.

Generative AI: Simulating market volatility to automate credit scoring and fraud detection.
Agentic AI: Autonomous workflows executing end-to-end insurance and healthcare claims processing.
NLP: Intelligent agents auditing documents against shifting regulatory GRC standards.
CNN: Automating KYC processes via biometric verification and document analysis.
RNN: Detecting anomalous transaction patterns in real-time to prevent fraud.
Agentic RAG: Providing customers with instant, data-backed financial planning and advisory.
RL: Optimizing algorithmic trading strategies to maximize returns and minimize market impact.

We accelerate patient outcomes by shifting to precise, data-driven, and autonomous intelligence across the value chain.

Generative AI: Synthesizing biological data to predict molecular interactions for drug discovery.
Agentic RAG: Doctors gaining instant, cited insights from medical journals at the point of care.
Vision AI (CNN): Deep learning models analyzing MRI/X-rays to assist in early disease detection.
RNN: Predicting potential health crises like sepsis by analyzing real-time patient vitals.
RL: Determining precise treatment plans and optimized dosages for chronic diseases.
NLP: Automatically converting doctor-patient dialogues into structured EHR data.
ML: Identifying patients at high risk of relapse to trigger proactive follow-up care.

Energy and Utilities

Smart Manufacturing (Industry 4.0)

Finance and Banking

Healthcare & Life Sciences

person walking inside building near glass

an electrical substation with power lines and wires

a large machine in a factory with people working on it

a pile of money with a credit card sticking out of it

A man standing next to a black and white flying device

Agriculture (Precision Agri-Tech)

We are driving sustainable food security by deploying Vision AI and robotics to transform traditional farming into data-rich ecosystems.

Vision AI (CNN): Analyzing drone imagery to detect early signs of pest infestation or nutrient deficiency.
RL: Guiding autonomous robotics and smart tractors for high-precision farming.
DL: Analyzing soil and weather data to forecast seasonal harvest yields.
Agentic RAG: Providing farmers with localized planting advice through natural language queries.
CNN (Precision): Specialized vision systems distinguishing weeds from crops for precise chemical application.
RNN: Predicting irrigation needs by analyzing subterranean soil moisture time-series data.
Generative AI: Optimizing greenhouse climates by simulating thousands of crop growth scenarios.