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Customers

with NeuralSeek.

A sampling of stories from hundreds of use cases, from a trading house's analyst portal to a bank's loan assistant.

Stories

What customers built

From banking and trading to healthcare, education and HR.

  • Trading house · M&A

    An M&A intelligence portal for one of Japan's largest trading houses.

    • A data-room portal replaces manually assembled evaluation decks
    • Pre-built research agents for capital structure, leadership, geography and financials
    • Bilingual Japanese and English PowerPoint output, generated on every upload
    • One governed platform, reusable across divisions
    Regulated M&A intelligenceRead the story
  • Home improvement · HR & call center

    yETI: a governed, multi-model chat platform inside the company's own Azure tenant.

    • One chat platform serving HR and the call center
    • The right model chosen per task, from several
    • Word and PDF upload, chat history, and company knowledge indexed for retrieval
    • Deployed end to end where the company's data already lives
    Multi-brand chat · Azure-nativeRead the story
  • Retail & commercial banking

    A customer-facing digital banking assistant with guided loan applications.

    • A customer assistant for general digital banking questions
    • Loan applications with careful handling of customer data
    • Internal system integration governed by NeuralSeek Guardrails
    • Every regulated customer interaction under the same policy
    Digital banking · Loan applications
  • M&A advisory

    A research assistant that joins outside market data with the firm's own SharePoint, Outlook and Salesforce.

    • External market and sector research across filings, the web and news
    • Grounded in internal SharePoint, Outlook and Salesforce records
    • Analyst-grade synthesis with every claim cited back to its source
    • One view across the whole advisory workflow
    Cross-border M&A research
  • Universal banking · State bank

    A governed, on-premises assistant that answers employee questions about processes and policies.

    • Verified process and policy answers for every employee
    • No-code authoring, so the bank extends it without an IT queue
    • On-premises, with guardrails and audit logging built in
    • A foundation for extending the same service to retail customers
    Employee productivity · On-prem
  • Pension fund administration

    One answer engine behind every support channel.

    • Covers IVR, WhatsApp, the website and internal platforms
    • Consistent, policy-compliant answers from one verified knowledge base
    • Routine inquiries answered before they reach the support team
    • Guardrails enforce pension-sector rules on every reply
    Support offload · Multi-channel
  • Fintech · Digital payments

    A grounded virtual assistant for Mexico's first payments unicorn, wired into Salesforce.

    • Real-time retrieval over product, fee and account-setup knowledge
    • Salesforce integration for leads, second-line cases and identity checks
    • Topic recognition, with guided suggestions when a question is vague
    • Live on public cloud since 2022
    Digital payments · Public cloud
  • 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
  • Telecom · Investor relations

    Investor Q&A preparation, drafted for executive review.

    • Anticipates likely earnings-call and analyst questions
    • Cross-references historical Q&A archives and financial data systems
    • Drafts context-rich, data-backed responses for executive review
    Earnings & analyst Q&A · Private cloud
  • Software · HR operations

    HR inbox triage, and a Center of Excellence for agentic AI governed by IT.

    • Common HR questions answered right away, at high volume
    • Complex cases routed to the right HR specialist with full context
    • One knowledge layer over email, messaging and document repositories
    • Business users build agents without code. IT governs them centrally
    HR triage · Agentic AI CoE · Private cloud
  • Consumer tech · Internal HR

    Chilla: a Slack-native HR assistant for a distributed workforce.

    • An HR assistant inside Slack, held to strict policy guardrails
    • Context-aware by country and city, drawing on internal pages and Workday
    • Nudges managers on time-off approvals, onboarding tasks and milestones
    • Opens a Zendesk escalation when a person needs to review
    Slack HR assistant · Public cloud

Story 1 of 12: Itochu

Common ground

What these deployments have in common

Different industries, the same needs: their own environment, their own material and a free choice of model.

  • It runs in the customer's own environment

    Itochu and Great Day Improvements both run NeuralSeek inside their own Azure tenant, under their own security setup. That settled the deployment question early, so the project could focus on the work.

  • Answers come from the customer's own material

    Filings, agreements, internal policy and reference documents. Every answer cites the source passage.

  • The model is a choice they can change

    Each system picks a model per task instead of committing to one provider, so it keeps pace as models, capability and pricing change.

Customer references

Short answers about references and trying it yourself.

  1. Can we speak to a customer in our sector?

    Yes. We set up reference calls one at a time, with the customer's agreement, so you can talk to them directly.

  2. Which industries use NeuralSeek?

    Banking, trading, payments, pensions, healthcare and medical education, universities, telecom and software, across hundreds of use cases.

  3. Can we try it on our own data?

    Yes. Start now with a two-week trial, or request a demo and bring one real workflow to see it live.

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.