AI Development Services | Generative AI Consulting
Generative AI consulting
We build production-grade GenAI solutions that deliver ROI
Pythian has a proven track record of helping enterprise businesses design, deploy, and scale custom generative AI solutions that solve complex data and business challenges to accelerate business velocity.
2x
Faster to market coding
75%
Employees using AI at work
$1M+
Annual operational savings
Our proven experience delivering GenAI solutions
Strategic generative AI solutions: From knowledge synthesis to autonomous action
Our generative AI consulting services are designed to solve the most pressing data and operational challenges facing the modern enterprise. We specialize in building bespoke solutions tailored to your unique technical ecosystem to move beyond experimentation, replacing fragmented projects with a unified, scalable architecture.
GENERATIVE AI SOLUTIONS FOR KNOWLEDGE MANAGEMENT
Intelligent enterprise search and knowledge synthesis
Move beyond keyword matching with AI-powered search that understands context and intent. We build RAG-based (retrieval-augmented generation) systems that allow your teams to query vast repositories of internal documentation, technical manuals, and wikis to receive instant, cited, and accurate answers.
GENERATIVE AI SOLUTIONS FOR CUSTOMER EXPERIENCE
Context-aware virtual AI assistants
Transform customer support with intelligent assistants capable of handling nuanced multi-turn conversations. Our solutions integrate directly with your product databases and CRM systems to resolve inquiries, troubleshoot technical issues, and provide personalized recommendations based on real-time user data.
GENERATIVE AI SOLUTIONS FOR MARKETING
Brand-aligned content generation and personalization
Scale your marketing efforts without sacrificing brand integrity. We build custom generative pipelines that produce high volumes of brand-compliant copy, product descriptions, and visual assets, all tuned to your specific brand voice and optimized for various audience segments.
GENERATIVE AI SOLUTIONS FOR DATA AND ANALYTICS
Synthetic data generation and automated business insights
Overcome data scarcity and privacy hurdles by generating high-fidelity synthetic datasets for testing and model training. We develop solutions that utilize large language models (custom LLM development) to analyze complex data trends and automatically generate executive-level summaries, transforming raw telemetry into actionable business intelligence.
GENERATIVE AI SOLUTIONS FOR SOFTWARE DEVELOPMENT
Accelerated code modernization and technical debt remediation
Drastically reduce the time required for legacy system migrations and code refactoring. Our GenAI frameworks assist engineering teams by automatically generating documentation, identifying security vulnerabilities, and translating legacy codebases into modern, scalable languages.
GENERATIVE AI SOLUTIONS FOR OPERATIONAL EFFICIENCY
Automated document summarization and extraction
Eliminate the bottleneck of manual document review by deploying agents that can summarize thousands of pages of legal, financial, or medical records in seconds. Our enterprise generative AI solutions extract key data points and entities, flagging anomalies and ensuring your team focuses only on high-priority items.
Accelerate innovation with our Google Cloud partnership
Enterprise generative AI powered by Vertex AI and Gemini
As a Google Cloud Premier Partner, Pythian combines deep cloud architecture expertise with Google’s cutting-edge AI stack. We leverage Vertex AI Agent Builder and Gemini 1.5 Pro to create high-reasoning agents that are natively integrated with your Google Cloud environment.
End-to-end enterprise generative AI solutions built for scale
Integrated GenAI strategy and services for total operational transformation
Scaling GenAI from pilot to production requires the seamless integration of strategy, engineering, and governance. Pythian’s end-to-end delivery model navigates complex data environments to ensure your AI investment translates into measurable business velocity.
STRATEGIZE WITH C-SUITE DATA AND AI EXPERTS
Strategize a generative AI roadmap
Identify the high-impact workflows where generative AI can provide the most value. We provide AI workshops to conduct GenAI readiness assessments, ensuring your data foundations and security guardrails are prepared to support LLM integration at scale.
BESPOKE MODEL TUNING AND CONTEXTUAL INTELLIGENCE
Custom LLM development and deployment
We build and fine-tune large language models (LLM) tailored to your proprietary data. From prompt engineering to RAG (retrieval-augmented generation), we ensure your models deliver context-aware, highly accurate outputs specific to your industry.
UNIFIED AUTOMATION AND CROSS-FUNCTIONAL SYSTEM SYNERGY
Enterprise ecosystem integration
We securely integrate your GenAI solutions with your CRM, ERP, and data silos, enabling models to pull real-time data, update records, and trigger cross-functional workflows. By turning your AI into a connective layer across your technology stack, Pythian ensures that insights generated in one department drive automated actions in another.
AI MODEL LIFECYCLE MANAGEMENT
Data governance and on-going AI model optimization
Innovation requires safety. We implement robust "human-in-the-loop" (HITL) frameworks, PII masking, and hallucination checks to ensure your generative AI operates within strict compliance and enterprise security boundaries.
Pythian is your generative AI partner of choice
Ready to move from AI experimentation to enterprise execution?
Don't let your GenAI strategy stall at the pilot phase. Whether you are looking to build custom LLMs or deploy autonomous agentic workflows, our AI readiness workshop is designed to align your leadership, audit your data foundations, and build a high-impact generative AI roadmap for production.
GenAI use case discovery and readiness assessment
Friction-free GenAI deployment
We meet with your executives and technical leads to identify high-value use cases. We assess your current data architecture, security posture, and cloud readiness to ensure a friction-free deployment.
AI development cycle accelerates time to production
Engineer-led GenAI proving ground
We don't just plan; we build. Our engineers develop a functional "proof of value" (PoV) using your proprietary data, allowing you to see the accuracy and reasoning capabilities of a custom-tuned model in weeks, not months.
Scale AI production and deployment
Enterprise GenAI integration
Once the value is proven, we scale. We integrate your enterprise generative AI solution into your ecosystem, layering on the governance, validation gates, and observability required for mission-critical operations.
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.
Data is in our DNA
Built on a foundation of data excellence
We architect the data pipelines, governance frameworks, and integration layers that turn fragmented information into a strategic asset. By grounding your generative AI solutions in a single source of truth, we eliminate hallucinations and provide the reliability your enterprise demands.
Generative AI consulting services frequently asked questions (FAQ)
While generative AI focuses on creating content (text, code, or data) based on patterns, agentic AI uses reasoning to execute multi-step workflows. Think of generative AI as a "knowledgeable assistant" and agentic AI as a "digital worker" that can access your ERP, use tools, and make autonomous decisions to achieve a specific business outcome. Pythian specializes in bridging the gap between the two.
Security is at the core of our enterprise-grade governance. We implement robust guardrails including PII masking, VPC (virtual private cloud) isolation, and local model hosting options. Your proprietary data is never used to train public models. We ensure your AI "grounding" occurs within your own secure environment, maintaining full data sovereignty and compliance with regulations like GDPR or HIPAA.
We focus on "enterprise velocity" and tangible financial gains. Success is measured through specific KPIs such as cost optimization (e.g., reducing "cost-per-transaction" in document processing) and productivity gains (e.g., developers completing tasks 2x faster). Our AI strategy workshops include an ROI modeling phase to ensure every use case is linked to your P&L.
The industry standard is clear: "No AI without data." Large language models (LLM) are prone to hallucinations if they aren't grounded in high-quality, structured data. Pythian’s heritage in data engineering allows us to architect the pipelines and integration layers that turn your fragmented data silos into a "single source of truth" for your AI agents.
Absolutely. Generative AI is most powerful when it can act on your core business data. Our integration and tool-use engineering services focus on connecting custom AI models to your existing tech stack (such as SAP, Salesforce, or Oracle) via secure APIs. This enables your AI to pull real-time data and trigger cross-functional workflows autonomously.
Through our rapid prototype & value proof cycle, we typically deliver a functional proof of value (PoV) within 4 to 8 weeks. This allows you to validate the reasoning and accuracy of the model using your own data before we begin the full-scale, enterprise-wide deployment and lifecycle management phase.
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