AI Development Services | Data and AI Consulting
Data and AI consulting
Architecting the data foundations that power enterprise-grade AI
Pythian bridges the gap between raw data and transformative intelligence by building the high-performance pipelines and governance frameworks that AI solutions demand. We ensure your data is accessible, clean, and secure, so it can be leveraged to solve your most complex business challenges.
25K+
Data systems managed
75%
Reduced infrastructure costs
$1.7M
First-year cost savings
Custom data and AI solutions for the modern enterprise
Eliminate technical debt and power your enterprise with data-first AI solutions
Deploying AI without a robust data strategy is a recipe for lost ROI. As a leading data and AI service provider—with over three decades delivering integrated data solutions, solving your technical debt is where we shine. Our AI solutions are engineered to be scalable, secure, and deeply integrated into your business workflows.
ACCELERATE MODEL PERFORMANCE WITH REAL-TIME AUTOMATED DATA PIPELINES
Automated data pipeline engineering
We design and deploy automated ETL/ELT pipelines that ingest, transform, and deliver data in real-time. By eliminating manual data handling, we ensure your AI models always have access to the freshest, highest-fidelity data available.
BUILD SCALABLE DATA FOUNDATIONS FOR RELIABLE AI DEPLOYMENT
Unified data foundations and fabric
Break down silos with a modern data architecture. We build unified data lakes and warehouses that serve as a "single source of truth," allowing your AI initiatives to pull from a consistent, enterprise-wide dataset.
SECURE YOUR AI LIFECYCLE, BUILD TRUSTWORTHY AI FOUNDATIONS
AI-ready data governance and compliance
Move beyond basic security with a governance framework built for the AI era. We implement automated data lineage, quality monitoring, and PII masking to ensure your AI deployments comply with global regulations like GDPR and CCPA.
OPERATIONALIZE PREDICTIVE INTELLIGENCE TO OUTPACE MARKET SHIFTS
Predictive analytics and machine learning modeling
Go from reactive to proactive. We develop custom machine learning models that analyze historical data to predict market trends, customer churn, and operational bottlenecks, delivering actionable insights directly to your leadership.
MODERNIZE YOUR DATABASE TO SUPPORT HIGH VELOCITY AI
Database modernization and migrations
Legacy infrastructure shouldn't be the bottleneck for your innovation. We modernize your database architecture to remove latency and ensure your infrastructure scales seamlessly with your AI deployments.
OPTIMIZE YOUR DATABASE TO ENSURE AI ACCURACY
Vector database optimization for GenAI
For organizations leveraging large language models (LLM), we implement and optimize vector databases. This allows for efficient retrieval-augmented generation (RAG), ensuring your AI provides contextually accurate answers based on your proprietary data.
Delivering measurable AI success
From data complexity to $1.7M in annual savings
Discover how Pythian helped a global ERP provider operationalize their data to fuel a custom AI and machine learning deployment. By modernizing their data foundation and automating core intelligence workflows, we delivered $1.7 million in estimated savings within the first year of production.
ALIGN YOUR DATA STRATEGY WITH AI BUSINESS KPIs
AI strategy and readiness assessment
Every engagement begins with a deep dive into your current data maturity. We identify high-value AI use cases, audit your existing data quality, and create a technical roadmap that aligns with your specific business KPIs.
OPTIMIZE YOUR DATA ENVIRONMENT FOR PRODUCTION-GRADE AI
Data infrastructure modernization
Before the AI is built, the foundation must be set. We modernize your legacy systems, migrating workloads to the cloud and optimizing your environment to handle the high-compute demands of modern AI and machine learning.
ENGINEER HIGH-FIDELITY DATA FOR RELIABLE AI OUTPUTS
Data quality and integrity engineering
AI is only as good as its inputs. Our engineers implement rigorous data cleansing and validation protocols to eliminate noise, bias, and inaccuracies, ensuring your AI outputs are reliable and "hallucination-free."
DEPLOY TAILORED AI MODELS BUILT ON YOUR UNIQUE BUSINESS LOGIC
Model development and integration
Our team builds and fine-tunes models tailored to your business logic. We don’t believe in "black box" solutions; we integrate AI directly into your existing tech stack so your teams can use it within their daily workflows.
MANAGE DATA DRIFT AND MAINTAIN PEAK MODEL ACCURACY
MLOps and continuous optimization
AI is not a "set it and forget it" technology. We provide ongoing MLOps (machine learning operations) to monitor model performance, manage data drift, and continuously retrain models as your business evolves.
IMPLEMENT RIGOROUS GUARDRAILS TO GOVERN AI USAGE
Ethical AI and governance oversight
We establish a permanent governance layer that monitors how data is used by your AI. This includes setting up transparency reports and ethical guardrails to protect your brand reputation and ensure long-term sustainability.
Pythian’s proven path to data and AI operationalization
Pythian is your data and AI transformation partner
Don't let legacy infrastructure or fragmented data stall your innovation. Our decades of delivering integrated data solutions ensures your business builds a foundation that is secure, scalable, and ready to deliver measurable business value.
Identify high-value use cases and audit data maturity
Data and AI assessment
We begin by evaluating your current data architecture and quality to pinpoint exactly where AI can drive the most impact. This phase eliminates guesswork by defining your technical gaps and business opportunities up front.
Modernize pipelines and migrate to AI-optimized cloud environments
Data engineering
We transition your infrastructure into a high-velocity engine by modernizing data warehouses and automating ETL/ELT pipelines. This ensures your data is clean, synchronized, and ready for high-compute AI workloads.
Build and fine-tune custom GenAI or predictive models
AI solution development
Our engineers develop custom machine learning, agentic, or generative AI models tailored specifically to your proprietary data and logic. We focus on seamless integration so these models work within your existing business workflows.
Implement security protocols and ethical guardrails
Data governance and compliance
We protect your brand by establishing automated governance, PII masking, and ethical oversight. This phase ensures your AI deployments remain compliant with global regulations while maintaining long-term sustainability.
Our customers are winning with generative AI solutions
Many businesses lack the skilled talent and internal expertise needed to integrate and manage enterprise generative AI solutions at scale. We help you create a unique asset that enables you to innovate faster, personalize customer experiences, and uncover valuable insights that give you a distinct market advantage.
GigaOm partners with Pythian to build AI analyst with Google Gemini
GigaOm needed to help customers make decisions faster—using AI to summarize their dense and impartial analyst reports.
Day & Ross accelerates throughput with Google Gemini AI
Pythian assists trucking giant to ensure real-time data visibility and data accuracy for a better customer experience.
QAD improves search accuracy using Google Cloud Vertex AI
QAD sought a better way for employees to search for internal documents. To achieve this, they explored Vertex AI and Conversation.
Ready to operationalize your data for AI?
Turn your data debt into AI dividends
Stop experimenting and start delivering. Partner with Pythian to build the high-fidelity data foundations your AI initiatives demand.
Data and AI consulting services frequently asked questions (FAQ)
AI is only as effective as the data fueling it. A robust data foundation ensures your models pull from accurate, real-time, and unified sources, preventing "hallucinations" and ensuring the insights generated are actionable and reliable.
We integrate governance into everything we do; automated data lineage and rigorous compliance checks (GDPR/CCPA) to ensure your proprietary data stays secure and your AI remains ethical.
Yes. We specialize in re-platforming and migrating legacy infrastructure to cloud-native environments that can handle the high-compute demands and low-latency requirements of modern machine learning.
While results vary, our clients often see significant gains in operational efficiency—such as our $1.7M savings success story—by automating manual data handling and deploying predictive intelligence.
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