Trusted by enterprise IT teams across Europe & MENA

Your team,
fully in control.
AI does the heavy lifting.

Nile empowers IT teams and business users to own their ERP migration end-to-end — from data profiling to go-live — without depending on armies of external consultants.

JM
AH
KP
+9
Trusted by IT leaders at mid-market and enterprise companies across Europe & MENA
Data Quality
Cleansing
Field Mapping
Cutover Sim.
GenAI active
Data Quality Analysis
ERP Migration Project · SAP S/4HANA · Last scanned 4 min ago
Total records
1.24M
Across 38 source tables
Quality score
91.4%
↑ 3.2% since last run
Issues found
847
Down from 2,340 last week
Critical
12
Require human review
GenAI Insight
847 issues identified across 5 modules. The majority (68%) are vendor master records missing EU VAT registration numbers — likely legacy data from pre-2020 entries. Nile can auto-remediate 812 of these using VIES API lookup. 12 records require your review before proceeding.
Table Records Quality Issues AI Status Action
VENDOR_MASTER 284,120
78%
623
↻ Auto-fixing
GL_ACCOUNTS 48,330
99%
4
✓ Clean
CUSTOMER_MASTER 190,840
95%
208
✓ Auto-fixed
PROD_HIERARCHY 12,480
61%
12
⚠ Needs review
72%
of complex ERP projects exceed budget or timeline without the right tooling
55%
reduction in migration effort — measured across Nile customer projects
10×
faster data profiling vs. manual discovery and analysis approaches
$2.4M
average cost overrun that Nile customers avoid per transformation project
Why Nile

The migration pains
your team will never face again.

Every ERP migration has the same breaking points. Nile identifies them, automates the fix, and puts your team firmly in the driver's seat.

01
🔍
Data profiling — from weeks to minutes
Old way: 8 weeks
Nile: minutes
Teams spend 6–12 weeks manually profiling legacy data. Issues only surface once migration has started — causing expensive rework and delays.
Nile's AI profiles millions of records automatically — surfacing completeness gaps, duplicates, referential errors and anomalies before a single record moves.

Every IT team member and business owner gets a shared, real-time view of data quality. No spreadsheets, no back-and-forth — just clarity on what needs fixing and exactly where.

QUALITY BREAKDOWN · 1.24M RECORDS GL Accounts 99% Customer Master 95% Vendor Master 78% Product Hierarchy 61% ✦ AI fix available for 835 of 847 issues — 1 click
02
Data cleansing — AI rules, human approval
Old way: manual, error-prone
Nile: AI + you in control
Cleansing data by hand at scale is slow, inconsistent, and the single biggest reason ERP projects overrun.
Nile generates cleansing rules automatically and surfaces them for your team to approve, adjust or reject — with a full audit trail and rollback on demand.

Business owners validate their own data in plain language. IT controls the automation. No SQL. No scripts. No external dependency. Your organisation stays in full control of what changes and why.

AI CLEANSING RULES · PENDING APPROVAL ✦ AI Standardise VAT format → EU pattern 14,230 vendor records · Confidence: 99% Approve Skip ✦ AI Merge 847 duplicate vendor entries IBAN + company name match · Confidence: 97% Approve Skip ⚠ Review 234 phone numbers — country code mismatch Multiple corrections possible · Human decision needed Review →
03
Transformation rules — auto-generated, expert-validated
Old way: weeks of mapping
Nile: 90% done in minutes
Writing field mappings from legacy structures to SAP, Oracle or Odoo requires deep ERP expertise and takes weeks — with high risk of error.
Nile auto-generates transformation rules by matching your source schema to the target ERP data model, with confidence scores and plain-language explanations every team member can understand.

Your ERP team validates logic in natural language. Complex edge cases are flagged for expert review. The result: 90% of mappings done in minutes, with your team in full control of the final 10%.

FIELD MAPPING · LEGACY → SAP S/4HANA CUST_NUM KUNNR 98% INVOICE_DT FKDAT + fmt 95% PROD_CAT MATKL ⚠ 71% VENDOR_ID LIFNR 99% ✦ 312/348 mappings auto-generated · 36 pending expert review
04
🚀
Cutover simulation — rehearse before go-live
Old way: discover issues live
Nile: zero surprises at go-live
Cutover weekends are high-stress, high-risk events. Issues discovered during the real go-live can delay the project by months and cost the business hundreds of thousands.
Nile simulates the full cutover in a staging environment — repeatedly — before the real event. Every issue is caught, fixed and documented in controlled conditions.

Automated rollback triggers, real-time progress tracking, and Nile's AI co-pilot available throughout the cutover window. Your team arrives at go-live weekend with confidence, not anxiety.

CUTOVER SIMULATION #3 · STAGING ENV 75% Extract Transform Load Validate Cutover ✓ Simulation 3/3 — 0 critical errors. Ready for production. ✦ AI Previous simulations found 3 issues — all resolved. Recommend scheduling production cutover for Friday 22:00 CET.
Markets

Built for complexity,
wherever you operate.

From a Scandinavian manufacturer's SAP rollout to a Gulf holding company's Oracle migration — Nile handles the regulatory, data quality and connectivity challenges specific to each market.

🇪🇺
Europe
UK · Germany · France · Nordics · Netherlands · Belgium · Poland · Spain · Italy
Live — primary market
🌍
Middle East & North Africa
UAE · Saudi Arabia · Egypt · Qatar · Morocco · Kuwait
Live
🌏
South & Southeast Asia
India · Singapore · Indonesia · Vietnam · Philippines
Expanding H2 2025
🌎
Latin America
Brazil · Mexico · Colombia · Chile · Peru
Expanding H2 2025
🌍
Africa
Nigeria · Kenya · South Africa · Ghana · Ethiopia
Roadmap 2026
18+ regulatory feeds
Live compliance data for VAT, e-invoicing, tax authority mandates, and cross-border frameworks — updated continuously.
Always current
Process

Five phases. Your team
in control every step.

Nile structures your migration into five clear phases — with AI doing the heavy lifting and your team reviewing, approving, and directing every decision.

01
Audit
AI profiles your full data estate — quality, completeness, structure, anomalies. Full report in hours, not weeks.
Week 1
02
Cleanse
AI-generated rules reviewed and approved by your team. No SQL. Full rollback. Business users participate directly.
Weeks 2–4
03
Transform
Auto-generated field mappings to your target ERP. Confidence-scored. Human-validated at every gate.
Weeks 4–8
04
Simulate
Full cutover rehearsal in staging — run as many times as needed. Issues found and fixed in controlled conditions.
Pre go-live
05
Hypercare
90-day post-go-live monitoring, adoption tracking, and AI helpdesk. Your team never faces go-live alone.
90 days post
Security & compliance

Your data never leaves
your environment. Ever.

Nile is built on a zero-egress architecture. All AI processing runs within your cloud boundary — AWS, Azure, GCP, or on-premises. Your data is yours.

🔒
Zero-egress architecture
All computation — including AI inference — happens within your own cloud environment. No data leaves your perimeter. No third-party sees your migration data at any point in the process.
🛡️
SOC 2 Type II certified
Nile is independently audited and certified to SOC 2 Type II standards. Security, availability, and confidentiality controls are verified annually by a third-party auditor.
🇪🇺
GDPR & data residency
Full GDPR compliance out of the box. Data residency controls ensure your data never crosses jurisdictional boundaries you haven't explicitly authorised. Supports EU, UK, and national data sovereignty requirements.
📋
Complete audit trail
Every action taken on your data — every AI suggestion, every approval, every change — is logged immutably. Full traceability for compliance, auditing, and internal governance. Nothing happens without a record.
Pricing

Transparent. No surprises.
Like your migration should be.

Every tier includes the full AI stack, your market's compliance feeds, and a dedicated advisor. Kickoff covers data audit, roadmap, and first sprint.

Starter
Single module
One ERP module. One market. Perfect for a focused, time-boxed migration sprint.
$3,000
per month · +$20K kickoff
  • 1 ERP module in scope
  • AI data profiling & cleansing
  • Auto transformation rules
  • 1 cutover simulation
  • 5 platform seats
  • 1 market compliance feed
  • Advisor: 20 hrs / month
Book a demo
Growth
Multi-module
2–3 modules across 1–2 markets. The most common configuration for mid-market transformations.
$5,000
per month · +$32K kickoff
  • Up to 3 ERP modules
  • Full AI migration stack
  • Unlimited cutover simulations
  • 10 platform seats
  • 2 market compliance feeds
  • MCP live ERP connector
  • Advisor: 40 hrs / month
  • Business user portal included
Book a demo
Enterprise
Full suite
Full-scale rollout across multiple modules and markets. Custom integrations and dedicated security review.
$8,000
per month · custom kickoff
  • Unlimited modules & markets
  • Full AI stack + custom agents
  • All market compliance feeds
  • 25 platform seats
  • Custom ERP integrations
  • On-site advisory visits
  • Dedicated security review
  • Advisor: 80 hrs / month
Book a demo

Ready to give your team
full control of migration?

Book a 30-minute call. We'll profile a sample of your real data live — no slides, no pitch — so you can see exactly what Nile will do for your project.

✓ Received — we'll reach out within 24 hours to schedule your discovery call.

No commitment. No spam. Your data stays in your environment from day one.

Field mapping · AI + human review
GenAI active
Auto-generated mappings
CUST_NUM
KUNNR
98%
INVOICE_DT
FKDAT
95%
VENDOR_ID
LIFNR
99%
PROD_CAT
MATKL ⚠
71%
AI co-pilot
Why is PROD_CAT only 71% confident?
✦ NILE AI
PROD_CAT contains 3 different coding conventions from different legacy systems — pre-2018, 2018–2022, and post-2022. MATKL is the correct target field, but the transformation logic differs per convention. I recommend splitting this into 3 conditional rules. Want me to generate them?
Yes, generate the 3 rules.
✦ NILE AI
Generated 3 conditional transformation rules for PROD_CAT → MATKL. Confidence now 97%. Ready for your approval →