Industries
We speak six
different fluently.
Every regulated industry has a vocabulary, a data shape, a regulatory body and a set of people who've been doing it for thirty years. We start there — not with the model.
01 / BANKING & FINANCE
Banking & Finance
AML, KYC, transaction risk, treasury forecasting and SAR generation — built to survive a regulator's audit and an analyst's 3 AM shift.
What we hear from CTOs
90% of AML alerts are false positives — analysts burn out reading them.
KYC enrichment takes 11 days; competitors do it in 2.
Model risk team needs SR 11-7 documentation we don't have.
Three legacy core systems and no unified customer view.
Use cases we've shipped
Transaction risk scoring
−62% false positives
Hybrid graph + GBM ensemble, fully auditable for SR 11-7.
SAR narrative generation
3.4× analyst throughput
Domain-tuned LLM with mandatory citation back to source events.
KYC document automation
11d → 4h
OCR + entity resolution + sanctions-list cross-check.
Treasury & liquidity forecasting
±2.1% MAPE
Time-series ensembles with regulatory scenario stress.
Wealth advisor copilot
+27% client meetings
Pre-meeting brief from CRM + portfolio + news. RM stays in the loop.
Loan origination triage
−40% manual review
Document AI + policy-matching agent with denial-reason explanations.
Vocabulary we ship in
02 / HEALTHCARE
Healthcare
Clinical chart summarization, prior-auth automation, claims processing, referral routing — with HIPAA, BAA and clinician-in-the-loop built in.
What we hear from CIOs
Prior-auth takes 7 days — patients get worse waiting.
Clinicians spend 2 hours of documentation per hour of care.
Referrals arrive as faxes; data entry is 90% of triage.
Claims denial rate is 12% and most are paperwork issues.
Use cases we've shipped
Prior-auth automation
7d → 4h
Document extraction + payer-rule matching. Clinician approves; agent does the work.
Pre-visit chart summary
−18 min/visit
FHIR-pulled summary with problem list, recent labs, open orders.
Claims denial prediction
−34% denials
Pre-submission ML check with explainable denial-reason flags.
Referral OCR + routing
99.3% accuracy
Fax → structured intake; auto-assigned to specialty with priority.
RPM signal triage
38% earlier intervention
Device data anomaly detection with clinician alert tuning.
Ambient clinical scribe
2 hr/day saved
On-prem speech model, encounter note auto-drafted, MD signs.
Vocabulary we ship in
03 / LEGAL SERVICES
Legal Services
eDiscovery triage, privilege review, contract markup, deposition prep, citation checking. AI that respects privilege and produces an audit trail your bar association will recognize.
What we hear from GCs
80k discovery docs and a 30-day deadline.
Outside counsel charges $400/hr to read what we could pre-filter.
Privilege mistakes are career-enders — vendors are scary.
Contracts pile up; redlines are slower than the deal team.
Use cases we've shipped
eDiscovery triage
−89% manual review
Privilege-aware classifier with audit trail. Sampled QC by counsel.
Contract markup
11 min → 90 sec
Playbook-driven redlines against your firm's standards.
Deposition prep
3.4× prep speed
Exhibits + transcripts + persona-tuned question generation.
Citation checking
99% recall
Cross-jurisdiction case-law verifier with shepardization.
Privacy-redaction tool
−72% review time
PII / privilege scrubbing for productions and SAR replies.
NDA / MSA intake
Hours → minutes
Self-serve intake portal for sales & partnerships.
Vocabulary we ship in
04 / RETAIL & E-COMMERCE
Retail & E-commerce
SKU-level forecasting, real-time recommendation, return-fraud detection, in-aisle vision and dynamic pricing — wired into your OMS, CDP and ad accounts.
What we hear from heads of commerce
Out-of-stock on the wrong SKUs every Black Friday.
Recommendation engine recommends what the customer just bought.
Return fraud is 4% of revenue; manual review can't keep up.
Pricing is updated weekly; competitors update hourly.
Use cases we've shipped
SKU-level demand forecast
−31% stockouts
Hierarchical time-series with promo & weather covariates.
Real-time recommendation
+18% AOV
Two-tower retrieval + cross-encoder rerank on-edge.
Return-fraud detection
−63% fraud loss
Behavioural graph + photo verification, with appeal flow.
Dynamic pricing
+4.2% margin
Competitor scrape + elasticity model, guardrails per category.
Visual search
+27% conversion
Multi-modal embeddings against your catalogue.
In-aisle shrink vision
−22% shrink
On-camera anomaly detection, store-manager dashboard.
Vocabulary we ship in
05 / EDUCATION
Education
Mastery diagnostics, at-risk detection, content recommendation, IEP drafting, auto-rubric and adaptive practice — with student-data privacy built in.
What we hear from product & academic leads
Same content for every learner — 30% drop off in week three.
Teachers spend Sunday writing IEPs by hand.
Short-answer grading is bottleneck — 2 weeks lag.
Can't predict at-risk students until report cards land.
Use cases we've shipped
Mastery diagnostics
+24% engagement
Bayesian knowledge tracing across your content map.
At-risk detection
6 wks earlier flag
Behavioural + grade + attendance signals. Counselor workflow.
IEP draft assistant
2 hr → 20 min
Compliance-aware drafting with case-manager review.
Auto-rubric
93% agreement
Short-answer scoring with calibration to teacher rubric.
Adaptive practice
+19% retention
Item-response theory + spaced repetition engine.
Learning-content gen
10× faster authoring
Standards-aligned question & passage generation with QA loop.
Vocabulary we ship in
06 / TAX & ACCOUNTING
Tax & Accounting
Transaction categorization, receipt matching, anomaly detection, audit-ready close packs — for firms drowning in 1099s every March.
What we hear from partners
3 weeks of January spent categorizing transactions by hand.
Auditors keep finding things we should have caught.
1099 season — 80% of work is data entry from PDFs.
200+ bank feeds, none of them standardize categories.
Use cases we've shipped
Transaction categorization
96.4% accuracy
Per-client learning loop; firm-wide policy override.
Receipt → expense matching
−85% manual reconcile
Mobile OCR + GL match + duplicate detection.
Anomaly detection in close
Found $1.4M error
Statistical + LLM-explanation flag on suspect journal entries.
1099/W-9 intake
14d → 2d
Vendor portal + extraction + TIN match validation.
Audit support pack
−40% audit days
Pre-assembled evidence linked to GL with explanations.
Client-question copilot
3× faster reply
Cited responses pulling from engagement docs & GL.
Vocabulary we ship in
Don't see yours?
Manufacturing, logistics, insurance, energy.
Manufacturing, logistics, insurance, energy.
We've shipped there too.
If your industry has a vocabulary, a regulator and data that doesn't fit a generic SaaS — there's probably a Neurapses-shaped engagement for you.