Pricing

Simple, transparent pricing.

Start free. Add sources as you grow. No hidden token fees.

What data intelligence really costs

NucleoBank vs the alternatives

Monthly cost

In-house$45,000–$70,000
Enterprise$14,000–$20,000
NucleoBank$120/seat

Time to first insight

In-house3–6 months
Enterprise6+ months
NucleoBankSame day

Data sovereignty

In-houseDepends on tooling
Enterprise❌ Your data goes to their cloud
NucleoBank✓ Stays in your Azure

AI model

In-houseYou build and host it
EnterpriseShared cloud model
NucleoBankPrivate open model in your tenant

HIPAA ready

In-houseYou are responsible
EnterpriseShared responsibility
NucleoBank✓ In-tenant by design

Quantum detection

In-house
Enterprise
NucleoBank✓ Premium tier

Sources: Glassdoor/Indeed June 2026 (salaries) · Vendr/CheckThat.ai 2026 (enterprise platform pricing)

Starter

Try NucleoBank inside your own Azure tenant.

Free

forever

vs $45K–$70K/mo for an in-house team

  • 1 data source
  • In-tenant trial deployment
  • Plain-English insights
  • Community support

Professional

Multi-source intelligence and anomaly alerts at scale.

$120

/seat/mo · annual

$120/seat vs $45K–$70K/mo in-house

  • Up to 10 data sources
  • Full in-tenant deployment
  • Anomaly alerts (Teams · email · SMS)
  • Azure Data Factory Studio access
  • Standard support (48 h)
★ Quantum Sentinel included

Premium

Everything, plus Quantum Sentinel for the subtlest patterns.

$220

/seat/mo · annual

Includes Quantum Sentinel — not available at any price elsewhere

  • Unlimited sources
  • Everything in Professional
  • Quantum Sentinel
  • SSO / Entra integration
  • Priority support (4 h)
  • Dedicated onboarding

What does an in-house data team really cost?

$135K/yr

Avg data engineer salary

Glassdoor, 2026

$160K–$290K

First-year all-in cost per hire

recruiting + ramp + tools

$480K–$870K

3-person team annual cost

before tooling

NucleoBank Professional for 5 seats = $7,200/yr. That's what an in-house team costs in the first 5 days.

Source: Glassdoor / Indeed (salary data, June 2026) · SHRM (recruiting cost benchmarks)

Common questions

Questions about volume pricing or custom deployments?