Bring the business together
Explore customers, orders, shipments, and financial activity across your business domains.
A shared view of your business
Your data already describes the business. Talamys makes that description explicit.
See customers, operations, and finance together. Understand their connections and follow the evidence behind the numbers.
See how it connects
Follow an order from the customer who placed it to its delivery, invoice, and payment.
Follow the evidence
Inspect what a KPI measures, which business records support it, and where an issue appears.
The platform
See the business behind the data.
Move from a shared foundation to a connected enterprise map, then follow a KPI back to the business records behind it.
A shared business foundation
Explore data across business domains.
Browse a coherent view of commerce, fulfilment, and finance. Select an entity to inspect its meaning and a small sample of the records people recognize.
Illustrative commerce example3 domains · 9 entitiesCounts and records are fictional
Commerce domain
Customers
Organizations that buy products and place orders.
1,240illustrative records
Customer nameSegmentRegionActive since
Sample recordsA small fictional subset for orientation
3 of 1,240 shown| Customer | Segment | Region | Active since |
|---|---|---|---|
| Northwind Retail | Retail | France | 2021 |
| Alpine Works | Manufacturing | Germany | 2022 |
| Cedar & Co | Distribution | Belgium | 2024 |
A connected enterprise map
See how the business connects.
See the same nine entities as one system. Select a node to reveal its immediate business relationships and highlight the relevant paths.
Illustrative commerce example3 domains · 9 entities · 9 relationshipsScroll the map horizontally to explore →
Commerce
Fulfilment
Finance
placescontainsfulfilled bydispatched fromcarried bybilled throughsettled bymay createreceives
A visible basis for every result
Trace a KPI from result to issue.
Follow a business metric through its agreed definition, included population, supporting delivery records, and one concrete late order.
Illustrative June 2026 exampleFictional recordsSupporting records shown are a subset
On-time delivery · June 202692.4%7,392 of 8,000 deliveries completed in June
Target96%
Late608
Excluded100still in transit at 30 June
KPI result
On-time delivery was 92.4%
During June 2026, 7,392 of 8,000 completed deliveries arrived on or before the date promised to the customer.
Result7,392 ÷ 8,000 = 92.4%
| Order | Customer | Promised | Delivered | Outcome |
|---|---|---|---|---|
| SO-1842 | Northwind Retail | 14 Jun | 16 Jun | 2 days late |
| SO-1917 | Alpine Works | 18 Jun | 18 Jun | On time |
| SO-2056 | Cedar & Co | 27 Jun | 27 Jun | On time |
3 sample records shown from the illustrative population of 8,000 completed deliveries.
AI grounded in your business
Give AI the context to answer.
Ask in plain language. Investigate unexpected results. Follow answers back to the records behind them—with shared business context across customers, operations, and finance.
Explore an AI answerInteractive example · fictional data
01 / Your question
Did we meet our delivery target in June?
June 2026 · Completed deliveries · 96% target
02 / Relevant business contextCommerce → Fulfilment
CommerceCustomers
CommerceOrders
FulfilmentShipments
FinancePayments
FinanceInvoices
FulfilmentCarriers
Orders are fulfilled by Shipments. Promised and actual delivery dates establish which deliveries were on time.
Dashed path: further evidence needed
- Business definition
- On time means delivered on or before the promised date.
- Scope
- 8,000 deliveries completed in June; 100 still in transit excluded.
03 / Answer & evidence
Explore the delivery evidence →
June delivery performance missed the target.
92.4%3.6 percentage points below target
7,392 of 8,000 completed deliveries arrived on time. The remaining 608 were late.
Inspect the supporting evidenceSelect a record below
Where Talamys starts
Resolve the questions that slow down every data initiative.
Understand unfamiliar data
Give new teams a business view of your customers, operations, and financial activity, with records they can explore.
Explore the foundation →Connect the whole picture
Understand how a customer order connects sales, delivery, and finance, even when those teams work separately.
Explore the enterprise map →Ask and investigate
Give AI the context to answer business questions, investigate unexpected results, and show the evidence behind its findings.
Explore an AI answer →Our founding team
The people behind Talamys.
We’re building Talamys to help organizations understand their business, make informed decisions, and put AI to work across every team. Our ambition is to make adoption simpler across the enterprise, with intelligence grounded in business context.
Our commitment
Ethical use, privacy, and respect for the GDPR and the EU AI Act are central to our mission for enterprise AI.
Mohamed Sadak
Co-founder & CEO
Mohamed co-founded Talamys to help organizations understand their business and bring AI into everyday decisions. He shares a commitment to making that progress responsible, with ethics and privacy at its core.
Abderrahman Sadak
Co-founder & CTO
Abderrahman’s background spans machine learning, natural-language processing, and question-answering systems. His work includes adapting language models to specialized subjects and exploring how AI can work with underrepresented languages.
Put your data to work with AI.
Start with one business question. See the context and evidence behind the answer.