Anthropic Claude Partner
AWS Advanced Tier Partner
Agentic AI-Built on Two Decades of Production Data Engineering
For more than two decades, our team has built the data warehouses, data lakes, and machine learning platforms behind enterprise and government operations. Today, as an Anthropic Claude Partner and AWS Advanced Tier Partner, InNeed AI builds agentic AI solutions on the foundation that matters most: governed data, secure architecture, and measurable business outcomes.
AWS Advanced Tier Services Partner
Ingram Micro Partner
Two decades of proof. A new era of intelligence.
Most "AI companies" are three years old. We shipped production machine learningacross nine industries - healthcare, financial services, manufacturing, energy,media, public sector, retail, telecom, and transportation - with documentedresults: $2M+ in annual savings per engagement, 97%+ model accuracy, and frauddetection rates improved by 300%. As an Anthropic Claude Partner and AWSAdvanced Tier Partner, we now bring that engineering discipline to agentic AI.
40+
Production AI/ML Deployments
10
Industries Served
$2M+
Documented Annual Savings in a Single Engagement
98%
Model Accuracy Delivered
500
Fortune and Government Clients
20+
Years Building Data Warehouses and Lakes
The Three-Layer Capability Story
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Data Foundations
Twenty years of warehouses, lakes, and lakehouses. Every intelligent system is only as good as the data beneath it. We've designed and operated enterprise data platforms at massive scale - petabyte-scale ingestion pipelines, S3 and Redshift data lakes, streaming architectures processing billions of records. This is the substrate agentic AI depends on, and it's where InNeed started.
AI & Machine Learning
Forty-plus production models, measured outcomes. We've deployed classification, forecasting, computer vision, NLP, and reinforcement learning systems that run in production today - detecting adverse drug events at 97.7% accuracy, cutting due-diligence time in half, reducing fraud detection time by 80%. Not pilots. Production.
Agentic AI on Claude
The frontier, built on proven ground. As an Anthropic Claude Partner, we build agents that handle complete business functions using Claude's reasoning, the Model Context Protocol for secure tool and data access, and retrieval-augmented generation grounded in your governed data. The same problems we once solved with custom ML pipelines.
Solutions Built for Real Business Impact
From AI agents and enterprise search to intelligent automation and custom AI platforms, we deliver secure, scalable solutions that drive measurable business outcomes.
We want AI, but our data is messy...
AI Readiness & Data Foundation Assessment
We need agents connected to real systems...
Enterprise AI Automation Build
We need to prove a use case fast...
Agentic AI Prototype Sprint
We need security, compliance, and control...
AI Governance & Secure Architecture
Clinical Trial Protocol Automation
50%
Reduction in the extraction team's workload
We designed a decision-support tool for the lab-extraction team. An application backend ran OCR across the protocols and extracted lab tests automatically, combining Amazon Textract, Comprehend Medical, SageMaker, and SpaCy into an end-to-end pipeline.
97.7%
Accuracy in detecting adverse events
We built classification models to detect adverse events directly from text, trained on five years of historical interactions — five million records labeled as adverse event, product complaint, or medical information request — using SageMaker and Amazon Comprehend.
50%
Reduction in document due-diligence time
We delivered an end-to-end natural-language-processing platform that annotated PDF documents, trained deep-learning NLP models on a corpus of roughly 1,000 documents, and let reviewers correct machine-generated annotations through an easy-to-use interface.
Frequently Asked Question
MCP is an open standard introduced by Anthropic that enables AI applications to securely connect with external tools, databases, documents, and business systems through a consistent interface.
MCP provides a standardized communication layer that allows AI agents to discover, access, and interact with external resources without requiring custom integrations for every system.
Like USB-C simplifies device connectivity through a universal standard, MCP provides a single protocol that enables AI systems to connect with multiple tools and data sources.
APIs create direct application-to-application connections, RAG enhances AI responses using retrieved information, and MCP standardizes how AI agents interact with tools, systems, and data sources.
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