From research to results
Applied AI and Arabic language technologies developed at iHorizons Labs, from prototype to production
At iHorizons, we advance research and development by integrating emerging technologies, especially artificial intelligence, with Arabic language technologies. Through iHorizons R&D Labs at the Qatar Science and Technology Park (QSTP), we develop practical solutions to modern challenges and move ideas from concept to production.
Technology-Driven Innovation
Our R&D team focuses on customized solutions for clients, exploring new frontiers in AI and adjacent technologies. We invest in research and new methodologies to keep our work current and effective. This sustained effort strengthens our service offerings, supports digital transformation programs, and delivers measurable value.
Customized R&D Solutions
We work closely with organizations to understand their goals and constraints, addressing near-term needs while preparing for long-term success. At the intersection of AI and Arabic language technologies, we apply natural language processing, machine learning, and advanced analytics to build applications that are both technically sound and business relevant. These R&D initiatives help modernize operations, improve efficiency, and open new growth opportunities. We also guide clients through the complexities of adoption and change, providing the insight and support needed to compete in a fast-moving landscape.
Funded R&D Programs (QSTP)
We have secured several QSTP-funded programs to advance Arabic-first technologies, with a focus on Arabic search, sentiment analysis, and customer profiling. These programs support end-to-end work from research and prototyping to evaluation and pilot deployment with partners.
Scope
- Sentiment and aspect-based opinion analysis for public and private datasets
- Customer profiling models based on consented and policy-compliant data
- Supporting capabilities (tokenization, normalization, vector search, reranking, RAG patterns)
Outputs
- Reusable components and APIs ready for integration with enterprise systems
- Evaluation datasets and benchmarks to measure quality and bias
- Model documentation, risk assessments, and privacy controls aligned to policy
Path to value
- Lab prototypes promoted to pilots, then to production endpoints
- Deployment options on premises or in private cloud VPC
- Knowledge transfer and training for client teams to operate and evolve the solutions