Newsroom
IBEA Revolutionizes Supply Chain Financing in Saudi Arabia
By KlickAnalytics Data Insights | October 23, 2024 07:00AM ET
- First company to introduce buyer-centric supply chain financing
- Successful partnerships with major banks and institutions in Saudi Arabia
IBEA, led by CEO and Founder Ismail Amonette, made its mark in the Saudi market over a year ago with a mission to address the ongoing problem of delayed B2B payments and the resulting cash flow challenges faced by suppliers in the Kingdom. Amonette shared this initiative during an interview at the Seamless Saudi Arabia 2024 event, emphasizing the critical need for solutions in this area.
The core objective of IBEA is to introduce buyer-centric supply chain financing, a concept that involves dynamic discounting. By automating payables processes for clients and integrating with their accounting systems and banks, IBEA enables suppliers to receive scheduled payments and discounts when needed. This system not only streamlines payments but also creates revenue opportunities for clients by reducing costs and enhancing the bottom line.
Partnerships play a key role in IBEA's success, as the company collaborates with major banks and institutions in Saudi Arabia to expand its reach and impact within the market. Amonette revealed strategic partnerships with Bank SAB and Arab National Bank, highlighting the integration with various financial teams to provide accessible solutions for customers. Moreover, the collaboration with Misk, the Mohammed bin Salman Foundation, underscores IBEA's commitment to fostering relationships in the finance industry.
With a focus on automating payments, generating revenue, and fostering partnerships, IBEA continues to drive innovation and change in the realm of supply chain financing in Saudi Arabia. The company's unique approach and successful collaborations position it as a leader in the market, paving the way for further growth and opportunities in the future.
Ask the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
86,000+ instruments
Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
Or start with