Forward Deployed AI Engineer · Healthcare · Government

QUASH ANALYTICS

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Agentic System Design
Harness, Loop, and LLM Ops, simplified A harness holds the prompt, chat history, and system instructions in working memory, retrieves relevant context from a vector database using RAG, feeds a loop where an LLM agent calls tools over MCP until it produces a reply, and an LLM Ops pipeline traces, evaluates, and diagnoses that run before releasing an improved prompt back into working memory. Harness Controls the model, like reins on a horse ONE AGENT RUN User Prompt Chat History System Prompt Working Memory / Context RAM tracks tokens Vector Database RAG retrieval relevant chunks, top-k Loop MCP Tool Calling schedule · CRM · payments LLM Q&A Agent GPT · Claude guardrails Reply LLM Ops Tells you if the harness is working Trace Langfuse · LangSmith Eval + Observe score it, watch tokens & latency was it good, was it healthy? Diagnose where and why it broke eval passed Release new prompt, model, or config, shipped safely fed back into working memory
1

Prompt, Chat History & System Prompt

Assembled into working memory for this run.

2

Working Memory / Context RAM

Tracks tokens and holds context for the loop.

3

Vector Database, RAG Retrieval

Pulls relevant chunks, top-k, from stored knowledge.

4

Loop, MCP Tool Calling

An LLM agent (GPT, Claude) calls tools like scheduling, CRM, and payments until it has an answer.

5

Reply

Guardrails pass and the loop ends with a response.

6

Trace

Every run gets logged, via Langfuse or LangSmith.

7

Eval + Observe

Scored by an LLM judge, and watched for tokens, latency, and errors.

8

Diagnose

Where and why something broke, if it did.

9

Release

Ships an improved prompt, model, or config, safely.

Built for Healthcare & Government

Patient data stays private, and practitioners get their time back.

We build agentic AI, RAG, and MCP powered tool calling that runs on infrastructure your practice or agency already controls, since protected health information should never have to leave your walls to get the benefit of automation. That means less time on charting, intake, and insurance follow up, and more time for the clinical or mission driven work your team actually trained for.

Private By Design

Retrieval augmented generation runs against your own records on infrastructure you control, so patient and constituent data never touches a public API or a third party model.

Agentic Workflows

Agents handle intake, scheduling, documentation, and insurance verification in the background, so your staff spend less time on paperwork and more time with patients.

Forward Deployed, Embedded With Your Team

We work inside your existing systems through MCP tool calling and direct integration, building alongside your staff instead of shipping a generic off the shelf product.

Proven Results

What we've delivered for our clients

$3.5M
Healthcare Sector, Annual Savings

Built a readmission risk ML model that identified high risk patients early, reducing 30 day readmissions by 7% and saving $3.5M annually while improving patient outcomes.

$1.2M
Education Sector, Annual Savings

Predictive analytics helped a regional school district reallocate staff and transportation resources more efficiently, cutting costs by 24% while improving service to underserved schools.

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Who We Are

Built for businesses to stay relevant in the age of AI.

Quash Analytics is a data science and AI firm founded by Evan Quash, a UC Santa Barbara and Notre Dame-trained data scientist with experience across Big Tech, finance, healthcare, and government.

We work with dental practices, hospital systems, and government agencies that need AI deployed the right way, with patient and constituent data staying inside their own infrastructure. Whether you need a one-time project or an embedded engineering partner, we deliver results you can measure.

Expertise

What we do

Data Science

Data Science

We turn raw data into clear answers through advanced analytics, predictive modeling, and visualizations your team will actually use.

Artificial Intelligence

Artificial Intelligence

From custom AI models to intelligent automation, we build solutions embedded directly inside your existing workflows.

Machine Learning

Machine Learning

We develop and train ML algorithms tailored to your data, so your systems get smarter over time and your team spends less time on guesswork.

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