AI and data services that work in production
We build the data pipelines, models and system connections together, so the result runs inside your ERP, CRM and daily operations. Not a pilot that stays in a notebook.
Most AI projects fail around the model, not in it
Unreliable data
Pipelines spread across teams feed the model inconsistent inputs. Good models trained on bad data give bad answers.
No connection to the business
A prediction that can't update the ERP or start a workflow doesn't change anything for the business.
Nobody owns the whole thing
Data engineering, modelling, infrastructure and integration sit with different teams. When it breaks, nobody is accountable.
Stuck at pilot
Without deployment pipelines and monitoring, a model that worked in testing never makes it into daily use.
Four parts, built and run as one system
Each part has agreed acceptance criteria before we build it.
Data engineering and governance
- Batch, streaming and event pipelines
- Quality checks, lineage and alerts on anomalies
- Data catalogue, access control and retention rules
You getReliable, versioned data that models and reports can depend on.
Model development and deployment
- Experiment tracking and evaluation
- Acceptance criteria agreed before release
- Versioned deployment with rollback
You getModels running in production, not on a laptop.
Connecting AI to your systems
- APIs that serve model results
- Results that trigger workflows
- Links to ERP, CRM and operational platforms
You getPredictions that show up where people make decisions.
Monitoring and improvement
- Model performance and data drift tracking
- Pipeline health alerts
- Retraining when performance drops
You getRegular performance reports and a full handover package.
Our AI and data work is led by our Chief Digital Officer.
Kaiss Alahmady, PhD
Chief Digital Officer
30 years in technology, focused on digital transformation, AI and machine learning, and blockchain. He has held executive roles at both private and public companies, including Verizon.
- Digital transformation
- AI and machine learning
- Blockchain
What each team gets from it
CIOs and executives
Milestones with sign-off, weekly reporting and one person accountable. Models, code and documentation are yours at the end.
Data and engineering teams
Data contracts, pipeline specs and model acceptance criteria signed off before the build starts.
Security and compliance
Data lineage and model documentation produced as we go, so audit evidence is ready when you need it.
Common questions
Can you work with the data platform we already have?
Yes. We start from your current warehouse, lake or databases and only suggest changes where they block the work.
Do we own the models and code?
Yes. Source code, trained models, pipeline definitions and documentation are handed over at the end of the engagement.
Can your team join ours instead of running the project?
Yes. We can supply data engineers and ML engineers through staff augmentation to work inside your team.
Where is the work done?
From Dallas and our delivery centre in Gurgaon, India, with overlap hours agreed at the start.
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