Healthcare
stays protected
Sensitive data is masked before it reaches the model. Answers come from material you approved, cite the source and are logged.
Customers
Healthcare and education teams using NeuralSeek
Expert-in-the-loop authoring for a medical-education company, and a student concierge for a public university.
Medical education · Pharma & biotech
AI-orchestrated content authoring for pharma and biotech medical education.
- No-code orchestration assists medical experts with research, drafting and retrieval
- Clinician authors spend their time on review and judgment
- Accuracy and compliance held by guardrails and an expert in the loop
- Consistent quality across every training material delivered
Clinician-assisted AI · Public cloud
Higher education · Student services
MyResource: a generative AI concierge for Penn State students.
- One personalized place to find academic, health, wellness and financial-aid resources
- Conversational retrieval over the university's own material, for precise answers
- Harmful-language filtering and sensitive-data detection on every reply
- Built to serve the full student body across every campus
Student concierge · Private cloud
Story 1 of 2: AdMed
Also in healthcare and research
Use cases
What healthcare teams build
Every use case follows the same steps: mask sensitive data, search approved material, answer, check and log.
Clinical questions from staff
Sensitive data is masked first. The answer comes from content your organization approved, is checked against your confidence minimum, cites its source and is logged.
Document intake and summaries
Read a referral packet or scanned chart, extract keywords, match them to your provider and specialty records, and return a drafted summary. Scanning, matching and the audit record are steps in one flow.
Expert-in-the-loop authoring
Research and drafting help for specialists who write clinical and educational material. Accuracy rules run as guardrails, with human review built in.
Administrative and member answers
Benefits, coverage, scheduling and process questions answered from one verified knowledge base, on every channel. Every reply is screened for harmful language and sensitive data.
Low-confidence answers
A safe reply when the answer is uncertain
Below the minimum confidence you set, NeuralSeek gives your own reply, such as a referral to the care team, or passes the question to a fallback agent.
Hand it to a person
Privacy and security
Privacy controls in every deployment
Data protection, encryption, audit logs and no training on your data, in every deployment, including our SaaS.
PII detection and redaction
Flag, mask, hide or delete personal data, configured by topic.
Encrypted in transit and at rest
TLS 1.2+ on all network traffic. Data at rest under AES-256. NeuralSeek integrates with your own key management service.
Full audit trail
Every question, answer, score and settings change is logged, timestamped and attributed. Export it to S3, Splunk or Datadog.
No training on your data
Your data stays yours. Neither NeuralSeek nor its subprocessors use your prompts, documents or logs to train models.
Document intake
Referral intake in one flow
The agent reads a referral packet, masks sensitive fields, matches keywords to your provider and specialty records, then drafts a summary and logs it.
Read from the packet
HIPAA compliant and SOC 2 audited
Run NeuralSeek inside the environment you already had audited, down to a network with no route to the internet, under your own network controls, key management and logging.
Audited
SOC 2 Type II
Audited every year.
NeuralSeek is HIPAA compliant and SOC 1 and SOC 2 Type II audited.
See certifications for details. Our security team answers questionnaires directly.
Questions from privacy teams
Short answers to what a privacy office asks first.
What actually reaches the model?
Only what you configure. Sensitive data is detected before the model call, and you choose the action by topic: mask, flag, hide or delete. To keep the model inside too, run an open-weight model on your own hardware.
Can it run inside our own network?
Yes. It runs as SaaS, in your cloud account, in a sovereign region, on OpenShift or fully air-gapped on-prem, with the same redaction, guardrails and audit controls everywhere.
How do we know an answer came from our approved material?
Every answer carries the passages it came from and a confidence score. Answers below your minimum get your own reply instead. Each run can be replayed, and the record exports to your log system.
Start building with NeuralSeek today.
Sign up online and start with a two-week trial, or talk to a NeuralSeek expert about running it in your own cloud.