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Perspectives from the Engineering Floor
Practical thinking on AI, software engineering, and technology transformation — from people who build production systems every day.
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Video Series
Engineering conversations on building with GenAI in the real world.
Episode 3: Data Extraction with LLMs
How we used LLM technology to increase data extraction accuracy from 50% to 99% across 120+ websites — the engineering decisions, challenges, and lessons learned.
Episode 2: Lessons from a Hackathon
What happens when you give engineers time to experiment with GenAI tools — insights from our internal AI hackathon.
Episode 1: Making GenAI Work in Products
Moving beyond proof of concept — how to integrate GenAI into production software products with engineering discipline.
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Article Series
In-depth, multi-part explorations of how engineering and AI intersect.
Resources
Whitepapers & Resources
Frameworks, methodologies, and perspectives you can put to work.
Absorbing Delivery Risks
How we de-risk complex engagements.
Embedded Quality
How QA is built into our process, not bolted on.
First Time Right Code Delivery
Our quality methodology for delivering error-free, on-time code.
GenAI in Action
Real-world applications of generative AI across industries.
Responsible AI Engineering
Governance, validation, and ethical practices for building AI responsibly.
Selecting the Right Development Partner
An evaluation framework for choosing the right software development partner.
SenecaGlobal at a Glance
A company overview and summary of capabilities.
Strategic AI Opportunity Mapping
A framework and methodology for identifying where AI creates the most value in your specific business.
Let's build what's next
Bring these ideas to your roadmap.
Tell us your priorities — we'll share relevant experience and where we can create measurable value.