From banking compliance to clinical workflows to legal discovery — we bring the domain, not just the model. Neurapses ships AI systems that already know how your business works.
Anyone can say "we do AI". Here's the proof a procurement, security or risk team actually asks for.
Custom LLM stacks, fine-tunes, agents and classical ML. Built on your data, hosted where your compliance team will approve.
→Warehouses, lakehouses, semantic layers and natural-language analytics. Make every operator their own analyst.
→OCR, extraction, classification and validation for receipts, claims, contracts, statements, charts and clinical notes.
→Full-stack web + mobile + cloud. AI features that ship, telemetry baked in, evaluation in CI.
→Attribution, audience generation, creative testing and AI-assisted campaigns — wired to your CDP.
→We've also built fraud detection, recommendation engines, supply chain risk models, carbon trackers and LMS platforms. Pitch us your weirdest problem.
→AML scoring, KYC enrichment, SAR narratives, transaction risk, treasury forecasting.
Clinical chart summarization, prior-auth automation, claims, referrals, RPM analytics.
eDiscovery triage, privilege review, contract markup, deposition prep, citation checking.
SKU-level forecasting, recommendation, return fraud, in-aisle vision, dynamic pricing.
Mastery diagnostics, at-risk detection, content recommendation, IEP drafting, auto-rubric.
Transaction categorization, receipt matching, anomaly detection, audit-ready close packs.
Replaced rules-only screening with a hybrid graph + GBM ensemble. Kept full auditability for regulators; deployed inside their VPC.
Built an extraction + policy-matching agent that ingests scanned faxes, EHR data and payer rules. Clinician keeps the final say; agent does the 40 minutes of paperwork.
For a transatlantic litigation, we built a privilege-aware classifier with full audit trail. Outside counsel reviewed 11% of the corpus instead of 100%.
We don't do six-month strategy decks. Every engagement is a sprint with a working artefact at the end of every two weeks.
Two-week opportunity map. We sit with your operators, find the highest-friction process, and pick the metric we'll move.
End-to-end prototype on real data. Ugly UI, real numbers. Live demo to your stakeholders at the end of week four.
Hardening, MLOps, evaluation harness, monitoring, security review. We ship into your VPC, your cloud, your rules.
Drift monitoring, retraining, governance and quarterly review. Optional managed-service tier or full hand-off to your team.
Most consultancies want you to think "build with us" is always right. Sometimes a SaaS works. Sometimes hiring is right. Here's how we actually compare.
| Hire in-house | Off-the-shelf SaaS | Neurapses | |
|---|---|---|---|
| Time to first value | 6–12 months | 2–4 weeks | 4–6 weeks |
| Tuned to your data | Eventually | Generic | Day one |
| Owns the IP | You | Vendor | You |
| Compliance & sector knowledge | Build it | Maybe | Built-in |
| Cost profile | High fixed | Predictable | Project-based |
| Risk if it doesn't work | High | Low | Fixed-scope pilot |
Audited & continuously monitored via Sprinto.
Data residency in EU, US, India. BAAs & DPAs ready.
Continuous compliance monitoring & evidence.
VPC-native deploys on Google Cloud, Azure & AWS. BYO KMS.
"The team built an outstanding ML portal for our supply-chain consultancy, enhancing efficiency and decision-making. Highly professional and reliable."
"They translated unique needs into a functional, user-friendly platform. Responsive, thoughtful, and shipped what they promised."
"Delivered an outstanding LMS portal and app for our organization — revolutionized operations and user satisfaction."
"Helped us sign over 20 tester clients in under two months — for demo, integration and product feedback."
The hidden temporal bias in transaction monitoring — and three cheap fixes most banks miss.
Before you talk to your CMIO about LLMs, fix the part where the fax machine is still in the basement.
How we design golden-set tests for legal AI without sampling privileged content.
Only with explicit written consent, and only for your tenant. We never pool client data. We can also run fully air-gapped on-prem if your security team requires it.
We're model-agnostic. We pick by accuracy, latency, cost and where your compliance team will let it run. Most production systems we ship use a mix — frontier models for hard cases, smaller open-weight models for the long tail.
The 6-week pilot is fixed-scope and fixed-price. If we hit the success metric, we move to production. If we don't, you get the code, the data pipeline and a written post-mortem. We've had to invoke this clause twice in five years; both led to a different engagement that did work.
Long-term embed contracts exist for clients running 12+ months. We don't do staff augmentation — we'll bring an autonomous pod with PM, ML eng, data eng and a domain lead.
Engineering centre of gravity in Howrah, India. Client teams in London and Wilmington, DE. We work in your timezone — every engagement has at least 4 hours of overlap with your local working day.
A 30-minute scoping call, then a short written brief from us, then a discovery sprint of 2–4 weeks depending on the problem. The first paid step is always the discovery — we don't quote big builds before we've sat with your data.
30-minute scoping call. No deck. Bring your messiest workflow — we'll tell you what's tractable, what isn't, and what an honest pilot would look like.
