Adaptive structured intake
Capture structured inputs through adaptive, branching forms that match the workflow or program being handled, rather than using a fixed questionnaire for every case.
NeoApps.AI by Neopric Inc. builds AI-native workflows for regulated industries, including Clinexa for healthcare intake and OctopusLM for private on-premise language models.
NeoApps.AI is a product studio by Neopric Inc. focused on building AI-native software for regulated and operationally complex work. The site presents two flagship products: Clinexa for healthcare intake intelligence and OctopusLM for a private, on-premise language model platform.
Across the site, the common pattern is structured intake followed by AI post-processing. Users complete conditional forms or assessments, then the system scores responses, flags risk or exceptions, generates summaries, and supports review workflows with auditability where needed.
Capture structured inputs through adaptive, branching forms that match the workflow or program being handled, rather than using a fixed questionnaire for every case.
Run post-processing on submitted data to score eligibility or risk, classify cases, and surface next-step routing for human review.
Generate decision-ready summaries, case briefs, or clinical summaries from structured inputs so reviewers work from synthesized context instead of raw forms.
Support regulated deployment patterns including on-premise, VPC, cloud, audit trails, SSO, and zero data egress when required.
Handle retrieval over internal knowledge sources such as documents, wikis, emails, and databases for private enterprise use cases.
Include workflow-specific output for different sectors, such as audit-ready records, compliance exports, or report drafts.
Healthcare teams can use structured patient intake, validated assessments such as PHQ-9 and GAD-7, and AI-generated clinical summaries to reduce documentation time and prepare providers before the visit.
Legal teams can run conditional client intake, conflict screening, matter scoring, and case brief generation before lawyer review, including workflows for personal injury, IME, contract analysis, and compliance checks.
Government agencies can collect benefits, grant, inspection, or AIA submissions in structured forms, then use AI to score eligibility, classify risk, and produce audit-ready summaries for review.
Private organizations can deploy a self-hosted language model with retrieval over internal documents, wikis, emails, and databases when public-cloud data handling is not acceptable.
Research, finance, manufacturing, and engineering teams can adapt the same intake-and-post-process pattern for inspections, analysis, audits, and data collection in specialized workflows.
NeoApps.AI is a product studio by Neopric Inc. that builds AI-native products for regulated industries. Its flagship offerings shown on the site are Clinexa for healthcare intake intelligence and OctopusLM for a private, on-premise language model platform.
The site positions NeoApps.AI for organizations that need structured intake, assessment, and AI post-processing in high-stakes environments, including healthcare, legal, government, finance, manufacturing, engineering, and education/research.
The website highlights two flagship products: Clinexa, which supports adaptive patient intake, validated assessments, and AI-generated clinical summaries; and OctopusLM, which supports self-hosted language models with retrieval over internal knowledge.
There is no pricing page available on the site; the pricing URL returns a 404 page. The public pages instead point visitors to book a call or a demo.
The site repeatedly emphasizes secure deployment options such as on-premise, VPC, or cloud, plus audit trails and zero data egress when needed. Specific implementation details, however, are not documented in the provided pages.