Get Validated Answers About Your Data in Seconds
Data Intelligence & AI Chatbot
Receive an AI-powered knowledge assistant custom-built around your specific data, environment, and scientific domain so your team can ask questions in plain language and get answers that trace back to the source.
These are also known as RAGs: Retrieval-Augmented Generation.
5 Hours Per Week
Average amount of time knowledge workers spend searching for information
$350K Per Year
Value recovered by a 50-person lab saving 30 minutes/scientist/day
No Hallucinations
A 2025 study in radiology found that a RAG eliminated hallucinations entirely in their test set (0% vs. 8% baseline) under controlled conditions.
The Problem
Valuable Answers are Trapped Across Disconnected Systems
The questions that matter most in a lab — "Has this instrument anomaly happened before?" "Why did this assay underperform last quarter?" — can't be answered from any single source. They require someone to manually piece together run logs, deviation reports, operator notes, and SOPs.
Additionally, senior scientists carry critical institutional knowledge in their heads — and their desktops. When they leave, it leaves with them.
The Solution
A Knowledge Assistant Built for Your Lab
We custom-build your solution into a single, searchable foundation tuned to your terminology and your scientific domain. Every answer links to the exact source it came from, so scientists can verify it and your quality team can stand behind it.
Connect Your Data
Documents, databases, run histories, LIMS records, spreadsheets are connected into a constellation of organizational knowledge.
Tuned to Your Lab
The system is built around your terminology, your instruments, and your scientific domain. So, it answers questions the way your team uses them, which is not a feature general AI chatbots can accomplish.
No Hallucinations
The system can only respond from your actual source material, and it always shows exactly where that answer came from.
Deployed In Your Systems
Your cloud, your private region, or your on-premises servers. Patient data, IP, run history, and proprietary records never have to leave your infrastructure.
Remains Audit-Ready
New and updated data flows in automatically, and every query, response, and access event is logged the way your inspectors expect to see it.
Why It Matters to You
Immediate Organizational Value Across Disconnected Systems
Hours Back in People’s Week
Team members get answers in seconds. New hires ramp up without interrupting senior staff. Investigations move faster because the relevant data is one question away.
Answers That Cross System Boundaries
Connect LIMS records with unstructured notes with instrument reference data — and answer questions that previously required three people and an afternoon.
Defensible Answers for Regulated Environments
Every response is grounded in your actual data. That structural guarantee is what makes the difference between an interesting demo and a system your quality team will approve.
Institutional Knowledge Stays
Capture the undocumented reasons behind decisions, workarounds for recurring instrument quirks, and context behind SOPs.
.png?width=1742&height=1598&name=Client%20Success%20Story%20_%20A%20Production%20AI%20Assistant%20That%20Answers%20Curriculum%20Questions%20from%20an%20Institutions%20Own%20Data%20(WIDS).png "Client Success Story _ A Production AI Assistant That Answers Curriculum Questions from an Institutions Own Data (WIDS)")
Client Success Story
An AI Assistant That Answers Curriculum Questions from an Institution's Own Data
We built "Judy," a retrieval-augmented AI assistant for WIDS (Worldwide Instructional Design System) that answers curriculum staff's questions in plain language by pulling information from each institution's documents and live database records.
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The Challenge
WIDS helps colleges and universities manage curriculum, but the information staff needed was split across a database and years of institutional documentation. Staff could click through the database, but they couldn't simply ask it a question — "Which courses are active this term?" or "What competencies does this course have?" As a result, information was hard to track down.
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How Yahara Helped
Yahara built Judy, a production-grade conversational AI assistant, with four capabilities that set it apart from a typical chatbot:
- Answers pulled from the institution's own content — Judy retrieves from indexed WIDS documentation and live database records, so every answer reflects that institution's actual, current curriculum instead of generic AI knowledge
- Natural-language-to-database querying — staff ask a question, and Judy returns a plain-language answer, self-correcting if the first attempt doesn't return the right result
- Generative capabilities — Judy can draft learning objectives and competencies for staff to review, making it a search tool and productivity tool
- A model-agnostic, secure AI gateway — built so the underlying AI provider (Anthropic, OpenAI, Azure, and others) can seamlessly update, and Judy has secure sign-in and strict data separation between institutions
- Hardened against manipulation — engineered so the documents and messages it processes can't trick Judy into ignoring instructions or leaking configuration, which is a critical safeguard for any assistant that reads untrusted content
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The Results
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Staff get direct, source-grounded answers in plain language instead of navigating menus or waiting on someone else to pull a report
- "Judy Bench," an automated quality-and-safety evaluation suite, runs a growing library of test scenarios — including deliberate manipulation attempts — against the live system and automatically scores pass/fail, so answer quality and safety are measured continuously
- A fully cloud-deployed, monitored assistant, packaged with health monitoring and a complete automated test layer so it can evolve safely over time
- A reusable foundation enables WIDS to adopt new AI capabilities as they emerge without a rebuild
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Why It Matters
Judy demonstrates what separates a genuine production AI assistant from a demo, Judy is grounded in an organization's real data, has safeguards against manipulation, and an automated way to prove — continuously — that the answers are correct and safe. For any organization considering a knowledge-base chatbot for its own SOPs, records, or documentation, Judy is proof that we build assistants that can be trusted and maintained.
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FAQ: What makes Judy different from a typical AI chatbot?
Judy pulls information from each institution's live database and documentation. Most chatbots don't have access to search and retrieve information from private systems. Judy responds to questions with plain-language answers, and is continuously tested for accuracy and safety through an automated evaluation suite called Judy Bench.
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FAQ: Can Judy be moved to a different AI provider in the future?
Yes. Judy runs on a model-agnostic AI gateway designed so the underlying model or vendor — Anthropic, OpenAI, Azure, or others — can change without rebuilding the product.
Phased Implementation
Every engagement is custom. We start by understanding your data landscape, your team's workflows, and where the most valuable answers are currently buried. From there, we build, integrate, and expand.
Start
Phase 1
Discovery & Scoping
We map your data sources, identify the highest-value questions your team needs to answer, and define the initial build scope.
Phase 2
Initial Build & Integration
We ingest and connect a defined set of your data sources, tune the system to your domain, and deploy it in your environment.
Phase 2
Phase 3
Production Build
We scale to the full data landscape — additional systems, additional users, additional use cases — by building on the foundation already in place.
End
Add-On Services
Compliance Configuration
For organizations operating within regulatory environments, we offer a separately scoped compliance configuration layer covering audit logging, role-based access controls, validated deployment documentation, data residency controls, and change management documentation.
Continued Support
Ongoing support for data ingestion, system tuning, and capability expansion as your organization grows and your needs evolve.
The Bigger Picture
Document Ingest/AI Chatbots Are the Foundation for Future AI Implementation
The ingest and organization work we do unlocks more ambitious AI projects: predictive models trained on your historical data, analytics across studies and submissions, instrument-specific troubleshooting tools, and decision-support that draws on your real history rather than generic best practices.
For organizations thinking about digital lab transformation, this is frequently the right place to start because this foundational work makes your data findable, trusted, and properly organized for more complex AI workflows.
Frequently Asked Questions:
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We already have a LIMS — does this replace it?
No. We connect to your LIMS (and every other system you rely on) as a data source. The knowledge assistant sits on top of all of it, giving your team a single place to ask questions across everything at once.
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How do we know the answers will be accurate?
Every response is grounded in your actual data and links to the source document or record. The system can't generate answers beyond what's in the source material, which is what makes it viable in regulated environments. In scientific industries, this approach has eliminated hallucinations and significantly reduced incorrect answers.
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Where does our data live?
In your environment: your cloud, your private region, or your on-premises servers. Patient data, IP, run history, and proprietary records never leave your infrastructure.
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What does the build process look like?
A phased engagement tailored to your organization: discovery and scoping, an initial build on a defined set of data sources, then expansion to a fully integrated lab-wide assistant — with optional ongoing support afterward. You see real value early.
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How long does it take?
That depends on the scope and complexity of your data landscape, which is what we assess in the discovery phase. We'll give you a realistic timeline before any build begins.