Transform Data Into Value with Custom AI Solutions Built for Impact.
Unlock insights, automation, and innovation through AI tools and models designed around your unique business challenges.
Econify's AI engineering services enable organizations to leverage cutting-edge technologies that unlock new insights, automate processes, and create intelligent experiences. Whether developing custom machine learning models, implementing generative AI solutions, or optimizing AI infrastructure, we can support your AI initiatives to deliver measurable business value.
Challenges We Solve
We can help you with any of these common challenges:
- Difficulty identifying high-impact use cases that deliver clear ROI
- Limited AI expertise to develop and maintain sophisticated models
- Challenges integrating AI with existing systems and workflows
- Concerns around data quality, governance, and responsible AI use
- Scalability issues when moving from proof-of-concept to production
Our Experience
We have delivered AI solutions across media, entertainment, and publishing industries, developing practical AI applications that solve real business problems. We've successfully implemented content taxonomy systems, LLM application integrations, model fine-tuning and deployment, interactive data visualization tools, and RAG applications that unlock value from unstructured data.
Our Approach
What Sets Us Apart
Domain Expertise: Our deep understanding of publishing workflows - particularly within media and publishing - content management, and audience engagement ensures AI solutions that address industry-specific challenges.
Practical Implementation Focus: We prioritize solutions that deliver tangible business value rather than implementing AI for its own sake.
Full-Stack Capabilities: Our expertise spans data engineering, model development, and production deployment, enabling end-to-end AI implementation.
Our Process
Every business is on a different path to AI maturity, We can help help you assess your AI maturity and support in putting in the foundations for AI enablement. Areas we will explore include:
- AI use case identification and prioritization
- Standardized architecture analysis
- Content taxonomy and metadata assessment
- Editor and content producer workflow analysis
- Integration requirements with existing CMS and publishing systems
- Performance measurement and optimization frameworks
Your organization can unlock the transformative potential of AI — ensuring practical applications that drive audience engagement, operational efficiency, enhanced content discovery and monetization.
Contact Us
New York, NY 10003
New York, NY 10003, U.S.A.
London, EC4A 3TW,
