Google AI Consulting

We help you implement what Google demonstrated: The innovations shown at Google I/O are exciting, but they’re just the starting point. We help you deploy these capabilities in the real-world using Google Cloud, Azure, AWS and open-source tools.
From Gemini demos to production-grade AI systems: We build enterprise-ready versions of what Google showed, including reasoning agents, real-time assistants, and multimodal AI, with secure, scalable deployments across your infrastructure.
Multi-agent orchestration, proven automation at scale: We build intelligent ecosystems where AI agents work together across workflows. These agents automate real-world operations in finance, healthcare, logistics, and more. We use open standards and cloud-native tools designed for enterprise reliability.
Cross-platform AI agents that work: We deliver AI agents that see, hear, and speak across mobile, web, desktop, XR, and edge, no vendor lock-in, full extensibility.
Trusted by industry leaders: We partner with Fortune 500s, global enterprises, and high-growth startups across sectors. Our clients include Microsoft, Google, Broadcom, Dell, Bank of America, Thomson Reuters, and more - organizations that demand both innovation and accountability.

The boardroom conversations have shifted dramatically. Where executives once debated quarterly projections and market positioning, today's strategic discussions center on a more pressing question: How can we harness AI to fundamentally transform our operations while our competitors are still figuring out basic automation?

The technologies showcased at Google I/O 2025 represent a major milestone for enterprise AI adoption, introducing capabilities that move far beyond simple chatbots and basic process automation. From Gemini 2.5's advanced reasoning capabilities to Project Astra's multimodal intelligence and Deep Think functionality, these innovations signal a fundamental shift in how organizations can leverage AI for strategic advantage.

However, the disconnect between technological possibility and business reality remains vast. While these advanced AI systems demonstrate remarkable capabilities in controlled environments, successful enterprise implementation requires deep technical expertise, strategic planning, and careful change management.

At Cazton, we bring these elements together, blending AI innovation with enterprise-grade implementation to convert cutting-edge capabilities into tangible business value through intelligent automation and multi-agent orchestration.

Most organizations find themselves trapped in what we call the "AI expectation gap." Leadership sees demonstrations of advanced AI capabilities and envisions immediate transformation, while IT teams struggle with basic integration challenges and data quality issues. This disconnect creates a cycle of disappointment and missed opportunities.

Consider the typical enterprise scenario: A financial institution’s executive team sees a live demo of AI systems autonomously identifying fraud patterns and delivering real-time compliance alerts. They envision an immediate rollout, only to realize their internal systems are fragmented across departments, their data pipelines are incomplete, and their teams lack the experience to operationalize such intelligence securely.

The reality that millions of developers are now building with advanced AI technologies demonstrates the growing momentum behind enterprise AI adoption. Yet this surge in development activity also highlights the complexity of implementation challenges that organizations face, particularly when dealing with multi-agent systems and sophisticated AI orchestration.

We've seen this pattern across many enterprise implementations. Our methodology begins with a comprehensive assessment of your current AI readiness, identifying the specific gaps between your technological aspirations and operational reality. We then develop phased implementation strategies that address these gaps systematically, ensuring that each stage builds upon previous successes while preparing your organization for advanced capabilities like AI agents and multi-agent orchestration.

The capabilities demonstrated at Google I/O 2025 point to a future where AI systems can reason through complex problems, understand multimodal inputs, and maintain context across extended interactions. For enterprise leaders, these technologies represent opportunities to address long-standing operational challenges that have resisted traditional automation approaches.

Deep Think reasoning mode: Gemini 2.5 Pro’s new Deep Think mode enables parallel, hypothesis-driven reasoning capable of solving intricate tasks like advanced math and competitive-level coding, approaching human-like analytical depth.
Multimodal mastery: Gemini 2.5 Flash and Pro now process text, long-context video/image, and native audio output, supporting rich conversational, visual, and audio input/output across workflows.
Project Astra / Gemini live: A universal assistant prototype that supports real-time camera, screen-sharing, emotion detection, and proactive suggestions, available on Android now, rolling out to iOS.
AI mode and live search integration: Search now supports voice, image, and text input in live, context-aware mode, AI acts autonomously to deliver answers and suggest actions across Google services.
Creative generation tools: Launch of Imagen 4 (high-res images with clean typography), Veo 3 (video + synchronized audio with advanced camera control), Lyria 2 (real-time music generation), all shipping to Workspace and Vertex AI.
Advanced developer experience: Google AI Studio now integrates Gemini 2.5 support with prompt summarizations, multimodal prototyping, thought-budget controls, and direct export into Vertex AI for enterprise apps.
Agentic AI extensions: New agent frameworks unveiled, Project Mariner (browser-based task automation), Jules (coding assistant), and Deep Research (report-generator), enabling real-time workflows across tools.
Secure, scalable deployment: Gemini 2.5 models include hardened security safeguards against prompt attacks, usage of "thinking budgets" for cost/performance control and are available to enterprises via Vertex AI and upcoming "AI Ultra" tiers.

We specialize in architecting sophisticated AI ecosystems that leverage these breakthrough capabilities within enterprise contexts. We develop multi-agent systems where specialized AI agents collaborate to solve complex business problems and create intelligent automation workflows that adapt to your specific business processes. Our method emphasizes human-AI collaboration, with tailored agent training, change management, and measurable adoption metrics, not generic AI deployments overwhelmed by buzzwords.

Creating real business value with AI isn’t about adding isolated tools or following the latest trends. It’s about developing intelligent systems that align with how your organization actually operates across platforms, teams, and communication channels.

Here’s how we help businesses design and deploy AI systems that are practical, scalable, and built to last:

Agent-based architecture: We design intelligent agents that handle tasks such as voice recognition, text understanding, image analysis, and document processing, tailored to your workflows and optimized to collaborate as a unified system.
Multi-agent coordination: These agents don’t operate in silos. We enable them to work together, responding seamlessly across formats like voice calls, video conferences, chat interfaces, emails, and image-based inputs.
Choice-driven AI development: We work with cloud-native AI services, open-source frameworks, and privately hosted models, allowing us to build solutions that are custom-fit to your data, compliance standards, and long-term strategy; without locking you into any single approach.
Multi-cloud deployment: We support deployment across Google Cloud, AWS, Azure, and on-premises systems, giving you the freedom to run AI where it best fits your business, security, and performance needs.
Cross-platform consistency: Our systems deliver a consistent experience across devices and platforms, so users get the same intelligent support whether they’re in a meeting, on mobile, or working in the cloud.
Secure, compliant, and scalable: Our solutions are built with enterprise-grade security and governance in mind, ensuring they meet the requirements of modern infrastructure and industry regulations.
Support for diverse input types: Whether it’s a spoken command, a written message, a video clip, or an uploaded image, our systems are built to understand and respond intelligently across all communication formats.
Custom-built to evolve with your business: Every AI system we deliver is designed to scale and adapt over time, supporting new use cases, data sources, and user needs as your organization grows.

We design AI systems that become a true extension of your business; intelligent, adaptable, and aligned with your goals. Our solutions work seamlessly across channels and platforms, and they’re built to evolve as your needs grow. Let’s build something intelligent, reliable, and ready that evolves with your business needs.

The evolution of voice AI capabilities represents a fundamental shift in how employees interact with enterprise systems. Modern voice AI goes beyond simple command recognition to understand context, manage complex conversations, and integrate with visual and textual inputs for comprehensive communication experiences.

Voice AI systems can now handle sophisticated business conversations, understand industry-specific terminology, and maintain context across extended interactions. This capability transforms how organizations approach customer service, internal communications, and operational workflows. Rather than requiring employees to learn about complex software interfaces, voice AI enables natural conversation-based interactions with enterprise systems, an area where we bring deep expertise through tailored, enterprise-grade solutions.

What we offer:

Enterprise-grade telephony and conferencing integration: Our systems plug into existing telephony, SIP-based VoIP, and video conferencing tools, enabling intelligent assistants that participate in meetings, summarize discussions, and even retrieve relevant documents in real time.
Custom neural voice models and speech enhancement: We fine-tune voice synthesis and recognition engines to match regional accents, suppress background noise, and elevate speaker clarity in dynamic environments, from factory floors to executive boardrooms.
Advanced conversational features for real-world performance: We implement capabilities like Push-to-Talk for voice-controlled hardware, barge-in interruption handling, dynamic voice switching, and turn-taking intelligence, ensuring smooth, human-like interaction in fast-paced environments like control rooms, logistics hubs, and hands-on service operations.
Conversational ecosystems tailored to your industry: We develop voice AI systems customized to your domain; finance, healthcare, retail, logistics, equipped with specialized vocabulary, tone modeling, and intent recognition to match your specific communication needs.
Integrated voice and visual interaction: We combine voice control with visual cues, on-screen content, and gesture recognition to create intuitive experiences, enabling users to speak, point, and interact naturally across devices and workflows.
Security, compliance, and observability built in: With support for HIPAA, GDPR, SOC 2, and custom compliance frameworks, our solutions include advanced logging, redaction pipelines, and AI observability for auditability, debugging, and performance tuning.
Real-time insights and executive dashboards: Our voice AI analytics provide actionable intelligence on user engagement, conversation success rates, and operational insights, empowering leadership with the data needed to optimize adoption and impact.
End-to-end voice AI architecture: From custom wake-word detection to on-premises and hybrid cloud deployment, we build full-stack voice AI solutions optimized for latency, bandwidth, and data security at the enterprise level.

Voice AI is no longer a future-facing concept; it's a practical, high-impact tool reshaping how enterprises communicate and operate. Our solutions are built to meet the real-world demands of modern organizations, enabling intelligent, secure, and natural interactions across every level of the enterprise.

AI assistants are changing how work is done. Instead of navigating complex interfaces or switching between systems, your teams can now interact with enterprise tools through natural language and visual inputs, on devices they already use. Whether it's capturing images, asking questions, or scanning environments, assistants can respond in real time with intelligent, context-aware support.

These systems are no longer experimental. They’ve evolved into enterprise-ready solutions that are already delivering measurable impact. You can:

Equip field teams to point their phone at equipment and receive immediate diagnostic insights.
Let operations staff photograph inventory and get real-time restocking recommendations.
Enable customer support to query full account histories through natural conversation.

To make this real, we deliver:

Context-aware AI assistant ecosystems, inspired by the latest innovations (like Project Astra), combining natural language, visual input, and real-time responsiveness.
Deep integration with your enterprise systems, including role-based data access, audit controls, and compliance with standards like HIPAA, GDPR, and SOC 2.
Custom user experiences tailored to your domain, trained to understand industry-specific terminology, processes, and workflows.
Enterprise-grade performance, with low-latency, secure deployment models built for scale.

You don't have to imagine what this looks like. We’ve already helped clients with enterprise-grade AI assistants across industries unlock real value:

In logistics, we’ve deployed agents that monitor supply chain disruptions and automatically reschedule deliveries.
In finance, our assistants track market trends and execute trades based on pre-set strategies.
In healthcare, our multi-agent systems scan EHRs to identify high-risk cases that traditional screening missed.
In manufacturing, we coordinate predictive maintenance and production planning to reduce costly downtime.
In retail, we deliver conversation agents that carry context across channels for truly personalized experiences.
In insurance, our claims-processing agents detect fraud patterns invisible to traditional workflows.
In telecom, we optimize bandwidth allocation with agents that respond in real time to network demands.
In the public sector and R&D, our research and document agents surface critical data from millions of records or studies.

The rollout of AI Mode in Google Search and its integration with Gemini for enhanced search capabilities demonstrates the potential for transforming enterprise information retrieval and decision support systems. Organizations often struggle with information silos and the challenge of finding relevant data across multiple systems and databases.

Advanced AI-powered search goes far beyond keywords. It understands natural language queries, context, organizational nuance, and delivers answers that draw from multiple, relevant sources. This shift unlocks faster, more informed decision-making, and reduces time wasted digging through silos.

We help enterprises move from scattered information to actionable insights through intelligent search solutions tailored to your environment:

Natural language search interfaces that understand business context, intent, and role-based relevance, making it easy to find exactly what you need, without knowing the exact terminology.
Federated search across systems: We connect disparate sources like document repositories, knowledge bases, CRMs, and BI platforms into a unified, intelligent search experience.
Context-aware ranking and summarization: Search results are enriched with summaries, relevance scores, and next-step suggestions, customized to your workflows.
Secure data access and governance: Results respect enterprise-grade access controls, ensuring only the right users see the right information, with full auditability and compliance.
Search-integrated decision support: We surface real-time insights, key metrics, and recommendations inside the search layer to assist in daily decision-making, not just information retrieval.
Domain-specific tuning and vocabulary training: Our models are trained on your industry terms, internal naming conventions, and document structures; search that understands your business.
Intuitive UI/UX design: We build elegant, usable interfaces that allow employees to search, filter, and act quickly, whether they're in finance, operations, legal, or support.
Scalable architecture with open standards: Built on modular, cloud-native infrastructure, our solutions scale with your data and can integrate with both modern and legacy systems.

The shift toward on-device AI addresses some of the most pressing concerns enterprises face today; data privacy, latency, and operational reliability. Organizations operating in bandwidth-limited or high-security environments are increasingly turning to edge AI to move intelligence closer to where decisions happen.

Local processing eliminates dependence on cloud access, enabling real-time inference even in offline or disconnected settings.
Privacy-sensitive environments benefit from on-device data handling, minimizing transmission risk and exposure.
Latency-sensitive use cases like diagnostics, quality control, or predictive alerts, see dramatic performance gains when processing occurs at the edge.

Unlike cloud-native systems, edge AI requires a specialized approach to engineering and deployment. The technical considerations go far beyond performance tuning.

Device limitations must be factored in, from compute capacity and memory to power consumption and battery life.
Model size and format often require optimization (e.g., quantization, pruning, or distillation) to meet real-world constraints.
Update mechanisms must be secure, bandwidth-efficient, and remotely manageable to support widespread, distributed deployments.

Security becomes even more critical at the edge, where devices may be physically exposed or lack traditional network protections.

AI models must be encrypted and tamper-resistant, preventing IP theft or unauthorized modification.
Device identity and authentication frameworks must be in place, especially when devices connect intermittently.
End-to-end observability is needed, from performance monitoring to threat detection, without impacting device responsiveness.

What We Offer:

Optimized AI for edge devices: We design compact, high-performance models tailored for mobile, IoT, and embedded platforms, maintaining enterprise-grade intelligence without overloading local hardware.
Seamless edge-to-cloud coordination: Our solutions include smart workload distribution and data synchronization, ensuring consistency between distributed devices and centralized systems.
Robust security and device management: We implement secure provisioning, remote monitoring, and encrypted model updates to protect intellectual property and sensitive business logic.
Custom deployment architectures: Whether you need offline AI in manufacturing facilities or real-time inference in healthcare wearables, we engineer deployment pipelines that fit your infrastructure and scale with confidence.
Performance monitoring and remote control: Our edge platforms include dashboards for real-time health checks, usage metrics, and update control across thousands of endpoints.

Creating seamless AI experiences across platforms; web, mobile, desktop, and XR, is no longer optional for modern enterprises. Employees, customers, and partners interact across multiple devices daily, and AI must deliver value regardless of where or how it’s accessed.

Users expect continuity across interfaces, whether they begin a task on mobile and continue on desktop or access insights through an XR headset.
Fragmented AI behavior across platforms leads to adoption friction, user frustration, and reduced ROI.
Enterprises need AI that adapts to the interaction context while maintaining consistent logic, tone, and performance.

Platform diversity brings technical complexity that requires thoughtful engineering and orchestration.

Each platform has different compute capacity, input modalities, and interaction styles, from touch and type to gestures and voice.
Network conditions vary widely, requiring AI systems to gracefully degrade or cache context while preserving responsiveness.
UX expectations shift depending on the device, demanding design patterns that feel native and intuitive across each environment.

One of the most overlooked challenges in cross-platform AI is maintaining state synchronization and unified access.

AI systems must preserve user context and conversation history across devices, ensuring continuity without data loss or confusion.
Permissions and access roles need to follow the user, not the device, especially in highly regulated or hierarchical environments.
Information presented must reflect real-time data, regardless of the platform’s connection status or system latency.

We develop intelligent AI systems that feel seamless across every platform. Our architecture ensures consistent experiences, adaptive UX, and reliable access to the right data, regardless of device or environment. Whether your users are interacting via mobile app, browser, or XR headset, we deliver enterprise-grade functionality that follows them wherever they work.

Advanced AI can’t be simply plugged in. It must be introduced through a strategic lens that considers data readiness, infrastructure maturity, and organizational alignment. Without structure, even the most powerful models risk underperforming or stalling altogether.

A successful AI transformation begins with clarity; about what’s possible, what’s needed, and what should come first. Executives must balance innovation with operational stability, aligning AI efforts with long-term business outcomes.

Our approach:

AI readiness assessment: We start by evaluating your current capabilities, including data quality, system integration, skill sets, and strategic goals, to define a clear and actionable path forward.
Phased implementation roadmap: We deliver staged rollouts that prioritize high-impact use cases, build internal confidence, and reduce risk, ensuring each success becomes a foundation for the next.
Governance, risk, and compliance planning: From model monitoring to ethical guardrails, we help you establish the right policies to manage AI across departments and regions, safely and transparently.
Change management and enablement: AI requires not just deployment, but adoption. We support your teams with role-specific training, usage frameworks, and the cultural shift needed for long-term success.
Architectural flexibility from day one: We help you plan for AI systems that scale across cloud providers, work across formats (voice, text, image, video), and are built with open, agent-based architectures, giving you long-term control and adaptability as your needs evolve.
Performance tracking and iteration: Our implementations include detailed success metrics tied to business value, ensuring each model delivers not just predictions, but impact.

The advanced AI technologies we've explored represent more than incremental improvements in capabilities; they signal a fundamental shift in how organizations can leverage AI for competitive advantage. However, the journey from technological possibility to business transformation requires expertise, experience, and strategic guidance.

Organizations face a critical choice: they can either wait for these technologies to mature and become commoditized, or they can begin implementing these capabilities now to establish competitive advantages. The organizations that successfully navigate this transition will be those that partner with implementation experts who understand both the technical complexities and the business imperatives.

The implementation of advanced AI capabilities requires more than technical deployment; it demands organizational transformation, workforce development, and strategic alignment. Success depends on having partners who can guide organizations through this complex journey while ensuring that AI implementations deliver measurable business value.

Your Strategic AI Transformation Partner

We specialize in translating cutting-edge AI technologies into practical business solutions that drive measurable results. Our expertise spans the full spectrum of AI implementation, from multi-agent system architecture and advanced reasoning systems to cross-platform AI experiences. We understand that successful AI transformation requires both technical excellence and deep business acumen.

Our comprehensive approach includes:

Multi-Agent system design: We architect sophisticated AI ecosystems where specialized agents collaborate to solve complex business problems.
Advanced AI integration: We implement the latest AI capabilities within your existing enterprise infrastructure.
End-to-end AI enablement: From strategy to architecture, design, deployment, and enterprise scaling - we support the full lifecycle of AI adoption.
Human-in-the-loop design: We balance autonomy with oversight - building agents that support human teams and escalate critical decisions appropriately.
Experience human-like interactions: Our AI Agents process text, voice, images, and video - enabling human-like interaction and perception across platforms and channels.
Vendor-neutral AI development: We build with cloud-native tools, open-source frameworks, or private models, ensuring flexibility, compliance, and zero vendor lock-in.
Strategic implementation: We develop phased approaches that build capabilities incrementally while demonstrating value at each stage.
Organizational transformation: We provide the training, change management, and governance frameworks necessary for successful AI adoption.
Platform-agnostic integration: AI Agents connect with your existing stack - whether you're on Azure, AWS, GCP, or on-prem - with minimal friction and full extensibility.
Rapid prototyping and validation: We build proof-of-concepts that demonstrate business value quickly - helping you test ideas and accelerate internal buy-in.
Performance tuning and observability: We optimize AI response times, reliability, and behavior monitoring - enabling fast, consistent results at scale.
Team training and AI agent readiness: We equip your teams with the skills, playbooks, and best practices to manage, extend, and evolve AI agents confidently over time.

Our experience across industries has helped enterprises deploy agent-based systems, enforce consistent context with MCP, and ensure factual accuracy with RAG, RAFT, all while protecting IP, data integrity, and operational reliability.

The future belongs to organizations that can successfully bridge the gap between AI potential and business reality. The advanced AI technologies we've discussed provide the tools; the challenge lies in implementing them effectively within existing organizational contexts while preparing for continued evolution in AI capabilities.

The question is not whether these advanced AI capabilities will transform your industry, but whether your organization will be among the leaders or followers in this transformation. The time for strategic AI implementation is now, and the right partnership can mean the difference between AI success and expensive experimentation.

Contact us today to begin your AI transformation journey with a partner who understands both the technology and the business impact. Together, we can turn AI possibilities into competitive advantages.

Cazton is composed of technical professionals with expertise gained all over the world and in all fields of the tech industry and we put this expertise to work for you. We serve all industries, including banking, finance, legal services, life sciences & healthcare, technology, media, and the public sector. Check out some of our services:

Cazton has expanded into a global company, servicing clients not only across the United States, but in Oslo, Norway; Stockholm, Sweden; London, England; Berlin, Germany; Frankfurt, Germany; Paris, France; Amsterdam, Netherlands; Brussels, Belgium; Rome, Italy; Sydney, Melbourne, Australia; Quebec City, Toronto Vancouver, Montreal, Ottawa, Calgary, Edmonton, Victoria, and Winnipeg as well. In the United States, we provide our consulting and training services across various cities like Austin, Dallas, Houston, New York, New Jersey, Irvine, Los Angeles, Denver, Boulder, Charlotte, Atlanta, Orlando, Miami, San Antonio, San Diego, San Francisco, San Jose, Stamford and others. Contact us today to learn more about what our experts can do for you.