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Generative AI Consulting Services
Turn your production data, financial patterns, and customer trends into reliable GenAI systems, from strategy to deployment. Digixvalley designs and integrates LLM-powered copilots, RAG knowledge assistants, and AI agents to accelerate decisions and automate workflows.
Trusted by startups and Fortune 500 companies
End-to-End Generative AI Consulting & Solution Development
We help enterprises turn GenAI ideas into scalable, secure, measurable business systems, built on your data, integrated into your stack, and optimized for real-world performance.
GenAI Strategy & Use-Case Roadmap
What we do: Map GenAI to high-impact workflows and define a practical delivery plan. Use-case discovery (support, reporting, forecasting, knowledge search, ops automation). ROI prioritization + success metrics. Architecture + model approach (LLM / RAG / agents)
Deliverable: GenAI roadmap + PoC plan + measurement framework
Data & Knowledge Foundation
What we do: Prepare your enterprise data so GenAI answers are grounded and auditable. Data readiness assessment (quality, permissions, PII, governance). Knowledge base design (documents, FAQs, tickets, product specs). Embeddings + vector database setup for retrieval
Custom Model Development
What we do: Adapt models to your domain so outputs match your language, policy, and workflows. Fine-tuning / instruction tuning (where it truly adds value). Prompt + tool/function design for accuracy and control. Evaluation datasets + guardrails for consistency
Deliverable: Domain-tuned model behavior + evaluation report + rollout plan
Generative AI App & Agent Development
What we do: Build production-ready GenAI applications that users actually adopt. AI copilots, chatbots, document automation, workflow assistants. AI agents with tool use (search, CRM actions, ticket updates, reporting). UX for enterprise use (roles, approvals, human-in-the-loop)
Deliverable: Production application/agent + user flows + analytics instrumentation
Integration & API Enablement
What we do: Embed GenAI into your existing stack without disruption. Integrations with databases, CRMs, ERP, Slack/Teams, internal tools. Secure API design (authentication, rate limits, logging). Event-driven / workflow automation patterns
Deliverable: Integrated GenAI services + documented APIs + deployment architecture
LLMOps
What we do: Keep GenAI reliable, cost-efficient, and secure after launch. Continuous evaluation (accuracy, hallucination rate, coverage). Observability (latency, cost per request, uptime, drift). Security/privacy checks + incident support + iterative improvements
Deliverable: Monitoring dashboards + optimization backlog + support/SLA options
What Generative AI Systems Do We Design & Deploy?
Production-ready GenAI systems—LLMs, RAG, agents, and multimodal pipelines—built on your data, integrated into your stack, and governed for enterprise reliability.
LLM Systems
Build copilots for drafting, summarization, classification, and decision support—grounded in your policies and tone.
RAG Search & Q&A
Retrieval-augmented generation that connects LLMs to your documents/DBs for accurate, traceable responses.
Image Generation Pipelines
On-brand asset generation for marketing and product—style-controlled and policy-compliant.
Voice AI
Natural-sounding text-to-speech and speech-to-text for voice bots, call summarization, and accessibility.
Video AI Workflows
Video creation and automation: summaries, highlight reels, training content, and personalized clips.
Includes: multi-step pipelines, cost control, brand templates, human approval.
Multimodal Intelligence
Systems that understand multiple inputs for document intelligence, visual Q&A, and cross-media summarization.
Hire Generative AI Developers (LLM, RAG & AI Agents)
Hire vetted Digixvalley engineers to build and ship LLM applications, RAG knowledge assistants, fine-tuned workflows, and AI agents
GenAI Capabilities That Make Your Business Future-Ready
We combine LLM customization, RAG freshness, governance, and LLMOps so your GenAI systems stay accurate, secure, and cost-efficient in production.
Custom Model Fine-Tuning
Adapt foundation models to your industry language, policies, and workflows—when fine-tuning is the right choice.
Includes: fine-tuning strategy (vs RAG), dataset curation, safety constraints, evaluation pack.
Data-Driven Adaptability
Keep answers fresh without constant retraining using Retrieval-Augmented Generation connected to your latest documents and systems.
Includes: embeddings/vector search, permission-aware retrieval, source citations, retrieval evaluation
Built-In Governance & Security
Ship GenAI with access control, audit trails, and compliance-ready controls from day one.
Includes: role-based access, data handling policies, audit logs, governance workflows aligned to regulatory expectations.
Scalable Deployment + LLMOps
Run reliably from pilot to enterprise scale, optimize latency, throughput, and cost per request while monitoring quality.
Includes: monitoring/observability, cost tracking, evaluation in production, incident support/SLA options.
Why Choose Digixvalley for Generative AI Consulting
We help teams move from GenAI ideas to production-ready LLM, RAG, and agent systems,with governance, security controls, and measurable outcomes built in.
- Enterprise-grade delivery
- Built for trust: governance, auditability, and security
- Accuracy you can defend
- Scale without cost surprises
- Global delivery, time-zone friendly collaboration
Excellence.
Our baseline standard for project delivery.
Award-winning company, recognized for innovation and excellence, proudly receiving industry accolades for outstanding solutions and service.
Projects Delivered
Industry
Sectors
Achievement in Customer Satisfaction 2023
America's Fastest-growing Companies 2023
Top 100 Global Outsourcing Providers and Advisors 2023
Achievement in Customer Satisfaction 2023
Awards & Recognitions
Winning Awards
From aspiring to thriving, Digixvalley has become a leading iOS app development company, recognized for driving tech-powered business growth and delivering exceptional iPhone app solutions. We’re dedicated to advancing this with innovative, future-focused efforts.
75+ reviews on clutch
4.8
Clutch
Top 1000 Companies
INC. 5000
America’s Fastest Growing Companies
Dot Comm
Excellence in Web Creativity & Digital Communication
Top Developers
Top Entertainment App Developers
Expertise
Best Mobile App Developer
Software World
Top App Development Companies
Horizon Award
Gold Awards Winner 2020
Rank Watch
Top Web Development Agencies 2023
Horizon Award
Silver Awards Winner 2020
Right firms
Top Mobile App Development Company 2023
FAQs
What is generative AI consulting?
Generative AI consulting helps organizations plan, design, build, and deploy GenAI solutions—often using LLMs, RAG, and AI agents—to achieve business outcomes like faster decision-making, automation, and better customer experiences. It’s typically used when teams need skills or speed to move from idea to production.
What does a generative AI consulting firm actually deliver?
Typical deliverables include a use-case/ROI roadmap, solution architecture, a PoC or pilot plan, data readiness work (knowledge base + retrieval), integration requirements, and a plan for governance, security, evaluation, and monitoring so the system can run reliably in production.
How is generative AI consulting different from generative AI development?
Consulting focuses on strategy, feasibility, architecture, governance, and rollout planning; development focuses on building the system (apps, RAG pipelines, agents, integrations) and shipping it to production. Many buyers choose a partner who can do both to avoid strategy-only outputs.
Do I need fine-tuning, RAG, or prompt engineering?
Most enterprise “ChatGPT for my business” use cases start with RAG to ground answers in your latest documents and data; fine-tuning is better when you must change model behavior/style consistently. Prompt engineering is often used alongside both. A good partner helps you choose based on data, update frequency, risk, and cost.
How do you reduce hallucinations and improve answer accuracy?
Common approaches include RAG with source citations, retrieval quality testing, evaluation datasets, human-in-the-loop review for sensitive workflows, and monitoring in production. The goal is to make answers traceable, testable, and governed, not just fluent.
What data do you need to start a GenAI project?
Usually you need: the target use cases, sample documents/records (knowledge base), access rules (roles/permissions), and any systems to integrate (CRM/ERP/support tools). A readiness assessment identifies data gaps and what must be cleaned, indexed, or secured before launch.
What security and governance controls should enterprise GenAI include?
Enterprise GenAI commonly requires access control, audit trails/logging, data handling policies (PII), model/output guardrails, and compliance workflows. Governance is now a major differentiator across top consulting players and review categories.
How long does generative AI consulting and implementation take?
Timelines depend on scope, integrations, and data readiness. Many engagements follow: readiness + use-case discovery → PoC/pilot → production deployment + optimization. Competitors often present phased delivery models with defined stages and durations to set expectations.
How much does generative AI consulting cost?
Costs vary widely based on model choices, customization, security/compliance requirements, and infrastructure. Industry guides show everything from lightweight monthly usage to large custom builds depending on scope and architecture; the reliable approach is scoping via a readiness/pilot plan with clear deliverables.
Let’s Hear What Our Clients Say
Testimonials
I have been working with Digixvalley on my app development project for several months now. Throughout this time, I have found their team highly professional, detail-oriented, and proactive in communication. From understanding my idea to designing the UI, building features, and refining every module, they consistently added value with smart suggestions. Their structured process, timely delivery, and quick response to feedback turned my concept into a polished, user-friendly app. I am extremely satisfied with the outcome and highly recommend Digixvalley for any serious mobile app development project or startup founder.
Tonia Edwards
Founder, You're Up Dating App
Digixvalley played a crucial role in developing both my mobile app and website. Their expertise is unmatched, and their team consistently provided valuable support and insightful suggestions throughout the project. They’re incredibly responsive, whether implementing changes or creating new features, and their knowledge extends beyond just tech—they excel in social media too. I highly recommend Digixvalley to anyone looking to build in the tech space. They’ve surpassed my expectations time and again, proving their worth every step of the way.
Thomas Dogbey
Founder, Takehair
Since partnering with Digixvalley last July, our experience has been outstanding. As the CEO and founder of a Breathalyzer alcohol monitoring company, I was initially cautious due to previous challenges with remote developers. However, Digixvalley has consistently exceeded our expectations with their exceptional communication and support. Their team’s dedication and professionalism have truly earned my respect. We’re excited to continue our successful collaboration with them.
Sergio Ruiz Caro
CEO & Founder, Pickleball Manager
For over three years, we’ve partnered with Digixvalley on our MVP Launch project. They delivered the project in under a year, meeting all security and quality standards. Within months of launch, our app garnered thousands of downloads across various marketplaces. Working with Digixvalley has been an exceptional experience. Their seamless communication and collaboration made the process smooth, allowing us to contribute effectively. The professionalism and high-quality service provided by Digixvalley are truly rare. We look forward to working with them again and highly recommend their services to anyone seeking mobile app development expertise.
Arash Barmaan
CEO, Del Dating App
