Enterprise AI Solutions: From Intelligent Knowledge Systems to Autonomous Agents.
We build advanced AI that solves your core business challenges. We transform your scattered data into Intelligent Knowledge Systems, automate complex workflows with Autonomous Agents, and solve unique language problems with Custom Data Solutions.
A Complete Suite of Advanced LLM Solutions
We structure our expertise into three core solution pillars, designed to address the most critical challenges and opportunities in enterprise AI today.
1. Intelligent Knowledge Systems
Turn your scattered documents and databases into a centralized expert that provides instant, accurate answers.
Example Use Cases:
- → Internal portals for HR or technical docs.
- → AI assistants for legal document retrieval.
- → Advanced customer support automation.
Key Technologies & Trends:
- → Retrieval-Augmented Generation (RAG)
- → Semantic Search & Vector Databases
- → Multimodal AI (Text, Image & Audio)
2. Autonomous Workflow Agents
Deploy autonomous AI agents that act as tireless, intelligent team members, executing complex, multi-step tasks.
Example Use Cases:
- → Proactive CRM data enrichment to pre-qualify leads.
- → Intelligent email responders that draft follow-ups.
- → Cross-platform automation (CRM to Slack).
Key Technologies & Trends:
- → Agentic Process Automation (APA)
- → Model Context Protocol (MCP)
- → Composable AI Architecture
3. Custom Language & Data Solutions
Solve unique language challenges with custom-trained models and specialized NLP pipelines when off-the-shelf isn't enough.
Example Use Cases:
- → Large-scale translation of niche social media data.
- → Fine-tuning models for a specific brand voice.
- → Specialized data extraction from financial documents.
Key Technologies & Trends:
- → LLM Fine-Tuning & Prompt Engineering
- → Domain-Specific & Hybrid Models
- → Advanced NLP Pipelines
What You Receive
Core Assets for Every LLM Engagement
Every LLM project, from PoC to full-scale MVP, equips you with a robust solution and the assets needed for success and future growth.
Solution Blueprint
A detailed document outlining the architecture, data flows, and model choices for your LLM solution.
Working Application
A functional PoC or a deployed, production-ready MVP that demonstrates the core functionality of your solution.
Complete Source Code
Full ownership of all custom code, delivered to your repository with comprehensive documentation.
Business Case Framework
A clear analysis of the project's value, potential ROI, and strategic impact to help justify the investment.
Knowledge Transfer
A handover workshop and documentation to empower your team to understand, use, and manage the new solution.
Scaling & MLOps Roadmap
A strategic guide for future enhancements, ongoing monitoring, and the long-term evolution of your AI asset.
Case Study: Autonomous Agents
CRM Enrichment for a Financial Services Firm
Challenge: A financial services company needed to more accurately identify high-value leads for a specialized loan product targeting rural development zones.
Solution: We built a Custom MVP featuring an autonomous agent that integrated with their CRM. The agent automatically enriched new leads by cross-referencing them with USDA geospatial data and census information, flagging those within qualified zones and appending valuable demographic data.
Outcome: The solution enabled their sales team to instantly identify and prioritize the most promising leads, dramatically increasing targeting efficiency and the success rate of their outreach campaigns.
Building Trust Through Proven Results
"Dave and his team were instrumental in delivering a complex AI solution that transformed our internal data initiatives into actionable insights."
Sri Kanajan, Director of Data Science
Scale AI
25%+
Increase in Lead Qualification Accuracy
For a Financial Services Firm via CRM Enrichment
1,000s
of Multilingual Comments Analyzed Daily
Providing Real-Time Sentiment Analysis for USAID
90%
Reduction in Manual Email Processing Time
With an Autonomous Email Response Agent
Investment
Clear Pricing for High-Value Solutions
We offer transparent engagement models to fit your needs, from rapid validation Sprints to fully custom, enterprise-grade solutions.
Tier 1: PoC Sprint
$18,000
A 4-week fixed-fee engagement.
- ✓Single Use-Case Validation
- ✓Non-Production Application
- ✓RAG on Static Documents
- ✓Feasibility & Performance Report
Tier 2: MVP Build
From $45,000
An 8-10 week project.
- ✓Production-Ready Application
- ✓AI Agent Workflow Automation
- ✓API & System Integrations
- ✓Security & Cloud Deployment
Tier 3: Enterprise Solution
Custom Quote
Project-based pricing.
- ✓Includes Everything in MVP Build
- ✓Custom LLM Fine-Tuning
- ✓Specialized Data Pipelines
- ✓Dedicated Strategic Support
FAQ
Your Advanced LLM Questions, Answered
Have questions? Below are answers to some common questions. If you don’t see yours, use the button below to ask.
A Proof-of-Concept (PoC) is a small, non-production build designed to quickly test if an idea is technically feasible. A Minimum Viable Product (MVP) is a more robust, production-ready version of the application with core features, security, and integrations, ready for initial users.
Security is our top priority. We deploy solutions within your secure cloud environment (e.g., a private VPC) and implement robust access controls. You always retain full ownership and control of your data.
You do, 100%. All custom code, configurations, and intellectual property developed for your project are your property. We deliver all assets to your repository, ensuring no vendor lock-in.
We build our agents using industry-standard context management protocols (MCP) to ensure they can handle complex, multi-step tasks. This is combined with rigorous testing, error handling, and human-in-the-loop safeguards to ensure robust and predictable agent behavior.
RAG is best for answering questions from your existing data (Knowledge Systems). AI Agents are for taking action and completing tasks (Workflow Automation). Fine-Tuning is a specialized technique for teaching a model a unique skill or style (Custom Solutions). We help you choose the right approach.
Yes. Integrating with your existing tools via APIs is a core component of our Custom MVP and Enterprise Solution offerings. This allows us to build AI that automates workflows across your entire tech stack.
Typical ongoing costs include LLM API usage, database hosting, and cloud computing. We provide detailed operational cost estimates as a key deliverable for both PoC and MVP projects.
Ready to Build Your Intelligent Advantage?
From validating a groundbreaking idea with a PoC to deploying a powerful Autonomous Agent, we're ready to help you harness the power of Large Language Models.