Our AI-driven solutions are designed to enhance accuracy, efficiency, and user experience across various domains. By leveraging advanced technologies such as autonomous agents, image and video analysis, fine-tuned AI models, multi-step workflows, and automated chart generation, we enable businesses to optimize decision-making and streamline operations. Our expertise in AI customization, including fine-tuning and hyperparameter optimization, ensures that AI models are tailored for industry-specific applications. This document outlines the extended capabilities of our AI solutions and how they can drive innovation and operational excellence.
Our Capabilities Include:
- Autonomous Agents that improve dynamically based on user feedback
- Image & Video Analysis for AI-powered search and comparison
- Fine-Tuned AI Models trained on domain-specific datasets
- Multi-Step AI Workflows integrating real-time data for optimized decision-making
- Automated Chart Generation to transform data into actionable insights
Autonomous Improvement Agent
We can build a feedback loop into the agent which requests feedback for each response. When a user provides negative feedback, the agent will ask what they did not like about the response, which we then use to improve the responses in real-time.
For example, if a user responds with negative feedback and states, “response was way too long,” then we store that remark and immediately feed it back into the agent. The agent reviews it before generating future responses to ensure it’s adapting to the user.
Improvement Agent
A dedicated agent continuously reviews conversations to enhance accuracy and user satisfaction.
- ✅ Checks if queries were resolved
- ✅ Evaluates response relevance
- ✅ Iterates through agent versions and user feedback
Outcome: Each version generates feedback for refinement.
Example:
- V1: ⚠️ Unstable, many unresolved billing queries.
ℹ️ Suggestion: Add a billing knowledge base + instructions. - V2: ⚠️ Improved but still negative feedback.
- V3: ⚠️ Degraded, unresolved queries increased.
- V4: ✅ Optimal—minimal issues, no unresolved queries.
💡 Staff can ask: What are the most common queries? Are users requesting unavailable features?
Image Comparison Agent
Compare 2+ images for:
- ✅ Key differences, changes, themes (open-ended analysis)
- Allow users to freely converse with the agent for information
- ✅ Pre-set criteria (e.g., number of images, quality, relevance)
- Hard-set the criteria to ensure consistent output/analysis
Chart Generation
- Generates static or animated charts
- AI selects the best format based on data type
LLM Customization
Fine-Tuning
There is no limit to the extent of customization we can apply to a model. It can be used to make it more robust, more concise, force formatting, or any other customizations needed.
Train LLMs on specialized datasets for:
- ✅ Industry-specific responses
- ✅ Improved marketing strategies & ad insights
- ✅ Optimized workflow alignment
Example Before Fine-Tuning:
User: “Create a marketing plan for an eco-friendly water bottle.” AI: “Use social media, influencer partnerships, and sustainability messaging.”
Example After Fine-Tuning:
AI: “Target eco-conscious consumers via TikTok micro-influencers and Instagram Reels. Launch a pre-order campaign with early-bird pricing. Optimize Google Ads for ‘best reusable water bottle’ and A/B test creative elements.”
Hyperparameter Tuning
Unlike fine-tuning, which retrains a model on new data, hyperparameter tuning adjusts the model’s internal settings—such as learning rate, batch size, and temperature—to optimize performance without modifying its core knowledge.
Adjust model parameters to enhance:
- ✅ Accuracy and response relevance
- ✅ Speed and efficiency for real-time interactions
- ✅ Balance between creativity and consistency
Multi-Step Agent Workflows
Optimize AI efficiency by logically integrating real-time data sources in a sequential process.
Example: Generating a marketing plan with keyword research
- Search Console: Extracts top search queries from existing domain data.
- Keyword Planner: Analyzes search volume and keyword difficulty for the best targets.
- Keyword Expansion: Identifies related search terms to enhance reach.
- Final Plan Generation: Aggregates insights to produce a comprehensive, data-backed strategy.
✅ Result: A marketing plan that evolves based on real-time data instead of static assumptions.
Video Understanding / AI Search
We can leverage APIs to enhance AI’s ability to index, search, and analyze video content.
- ✅ Search for videos based on visual analysis
- ✅ Generate timestamped responses referencing video content
- ✅ Extract key ideas, topics, and successful video scripts
💡 Marketing Use Case: Extract trends from high-performing videos, analyze engagement patterns, and optimize future content strategy based on data-driven insights.
