Where strategy meets technology.
We deploy practical AI solutions that solve real business problems and deliver measurable ROI. No hype, no science projects—just intelligent systems that create sustainable competitive advantages.
AI/ML expertise | Enterprise data solutions | Trusted by data-driven enterprises
We understand the obstacles that hold organizations back from achieving their technology potential.
You're collecting more data than ever, but it's scattered across systems, inconsistent, and hard to access. Reports take days to generate, and by the time you get answers, the opportunity has passed.
You've heard the promises of AI transformation, but past initiatives produced impressive demos that never made it to production. You need practical AI that actually works in your environment.
Your data is a mess—duplicates, inconsistencies, missing values, and no single source of truth. You know you can't build reliable analytics or AI on a shaky data foundation.
Data scientists, ML engineers, and data engineers are expensive and hard to find. You don't have the in-house expertise to build and maintain sophisticated data and AI systems.
Your data lives in dozens of systems that don't talk to each other. Building a unified view requires navigating legacy APIs, different data formats, and organizational silos.
You've invested in data infrastructure and tools, but struggle to demonstrate business value. Leadership questions whether data initiatives are worth continued investment.
A proven, structured approach that ensures successful outcomes at every stage.
We assess your current data landscape, identify high-value use cases, and develop a practical roadmap that prioritizes quick wins while building toward long-term capabilities.
We build the data infrastructure that makes everything else possible—pipelines that reliably move data, storage that scales, and governance that ensures quality and security.
We create analytics solutions that put insights in the hands of decision-makers—self-service dashboards, automated reports, and analysis tools that answer questions in real-time.
We develop machine learning models that solve specific business problems—prediction, classification, optimization, automation. Every model is built for production, not just proof of concept.
AI and data systems require ongoing attention. We monitor model performance, retrain as data changes, expand to new use cases, and continuously optimize for better results.
Comprehensive expertise across the full spectrum of ai & data solutions.
Tailored solutions for your industry's unique challenges and opportunities.
Fraud detection, credit risk modeling, algorithmic trading, customer churn prediction, and regulatory reporting automation that improve decisions and reduce risk.
Demand forecasting, dynamic pricing, personalized recommendations, inventory optimization, and customer segmentation that drive revenue and reduce costs.
Predictive maintenance, quality control automation, supply chain optimization, and production scheduling that maximize efficiency and minimize downtime.
Clinical decision support, patient risk stratification, operational efficiency, and medical imaging analysis that improve outcomes and reduce costs.
Real results from organizations that transformed their operations with our expertise.
National retailer, 500+ stores, $2B annual revenue, 50,000+ SKUs
A major retailer was using spreadsheet-based forecasting that couldn't account for promotions, weather, or local events. Chronic stockouts during promotions and excess inventory of slow-moving items were costing millions annually.
"We went from flying blind to having forecasts we actually trust. The system pays for itself every month through reduced stockouts alone."
— VP of Supply Chain, National Retailer
Regional bank, $15B assets, 2M+ customers, 500K daily transactions
The bank's rule-based fraud detection system generated thousands of false positives daily while missing sophisticated fraud patterns. Analysts were overwhelmed, and fraud losses were increasing despite growing investigation costs.
"We're catching fraud we never would have found before, and our analysts can focus on real cases instead of chasing false alarms."
— Chief Risk Officer, Regional Bank
Precision manufacturer, 3 plants, 800+ CNC machines, 24/7 operations
Unplanned equipment failures were causing production disruptions, rush repair costs, and missed delivery commitments. Preventive maintenance was either too frequent (wasteful) or not frequent enough (failures).
"We now know which machines need attention before they fail. Our maintenance team went from firefighting to planned, efficient work."
— VP of Operations, Precision Manufacturing
Concrete deliverables and measurable outcomes from our engagement.
What sets our approach apart from other providers.
We don't build impressive demos that never deploy. Every model we develop is designed for production from day one—scalable, maintainable, and integrated with your systems.
95% of our models reach production vs. industry average of 20%
We start with the business problem, not the technology. Our data scientists work alongside business experts to ensure we're solving problems that matter and measuring success in business terms.
Average 3x ROI achieved within 12 months of deployment
From data engineering to ML to analytics to MLOps—we have deep expertise across the entire data stack. No gaps that require multiple vendors or coordination headaches.
Integrated teams covering all data disciplines
We build AI systems that are explainable, fair, and governable. Our models include monitoring for bias, drift, and unexpected behavior—not just accuracy metrics.
Comprehensive model governance frameworks standard
We're not here to create dependency. We document everything, train your team, and build internal capability so you can eventually own and evolve systems independently.
Structured knowledge transfer in every engagement
Our team includes specialists who understand your industry's data challenges, regulations, and best practices—not just generic data scientists.
Dedicated industry practice leads with 10+ years domain experience
Flexible options to match your needs and budget.
End-to-end development of a specific AI/ML solution—from data preparation through production deployment. Best for organizations with a clear use case and data foundation.
Defined use case, existing data infrastructure, clear success metrics
$150K - $500K depending on complexity
Design and implementation of modern data infrastructure—pipelines, warehouse, governance. Foundation for analytics and AI initiatives.
Organizations needing to modernize data infrastructure, new data initiatives
$200K - $800K depending on scope
Rapid implementation of analytics and BI capabilities—dashboards, reports, self-service analytics. Quick time-to-value for data visibility.
Need for immediate data visibility, executive reporting requirements
$75K - $250K depending on scope
Ongoing partnership for continuous data and AI development. Dedicated team works on a portfolio of initiatives with flexible prioritization.
Multiple use cases, ongoing development needs, building internal capability
$40K - $120K/month based on team size
End-to-end development of a specific AI/ML solution—from data preparation through production deployment. Best for organizations with a clear use case and data foundation.
Defined use case, existing data infrastructure, clear success metrics
$150K - $500K depending on complexity
Common questions about our ai & data solutions services.
Data quality matters, but 'perfect data' isn't a prerequisite. We assess your data early and can often work with imperfect data while implementing improvements. For some use cases, we can start creating value quickly while building better data foundations in parallel.
Typical projects show measurable ROI within 6-12 months of deployment. We prioritize use cases based on expected value and achievability, often starting with 'quick wins' that demonstrate value while building toward larger initiatives.
We bring integrated teams (data engineers, ML engineers, data scientists, MLOps specialists) with production experience. Building this team internally takes years. We also bring cross-industry experience and proven approaches that accelerate time-to-value.
Security is foundational to everything we do. We implement encryption, access controls, audit logging, and can work within your security requirements. For regulated industries, we have experience with HIPAA, SOC 2, GDPR, and other compliance frameworks.
Yes, we're technology-agnostic and experienced with all major platforms (AWS, Azure, GCP, Snowflake, Databricks, etc.). We can enhance your existing infrastructure or recommend changes where they'll provide significant value.
We implement comprehensive MLOps practices: continuous monitoring for model drift, automated retraining pipelines, A/B testing frameworks, and alerting when performance degrades. Models are living systems that need ongoing attention.
We have deep expertise in deploying generative AI for practical business use cases—document processing, knowledge assistants, content generation, code automation. We help you navigate the hype and implement solutions that actually work in enterprise environments.
We define success metrics upfront tied to business outcomes—not just technical metrics like model accuracy. For a fraud detection system, success is fraud losses reduced. For demand forecasting, it's inventory costs saved. We track and report on these throughout.
Let's discuss how we can help you achieve your goals. Schedule a consultation with our experts.