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Discovery & Data Readiness Assessment
SolveByte examines your data, your use case, and your compliance issues before suggesting an architecture
Most Trusted Generative AI Development 
Company
Simplify your generative AI development process with SolveByte. Our targeted hands-on experience across LLMs, RAG, and multi-agent systems, from OpenAI and Anthropic Claude to Llama, Mistral, and other open-source models, allows us to confidently offer production- and scale-oriented generative AI development services.
About
What Is a Generative AI Development Company?
Generative AI development companies build frameworks that utilize large language models and other AI systems to create, reshape, or automate the generation of content. They also assist in making determinations based on the produced content.
SolveByte handles fulfillment of the entire lifecycle. Our team invests the time and resources necessary to create tailored solutions that generate AI based on your company's unique data, existing workflows, and specific compliance criteria.
Services
What Generative AI Development Services Does SolveByte Offer?
SolveByte provides comprehensive generative AI development services, which cover the entire build cycle from consulting to enterprise-level implementation. Each service can be offered as a standalone offering, but the majority are designed to be integrated and performed together.
AI Capabilities
Generative AI Use Cases By Business Function
Generative AI creates measurable ROI when considered for a specific business function rather than an overarching “AI program.” Examples of use cases that we build for our clients include:
Content & Marketing Automation
Automated, on-brand text, product descriptions, and marketing variations.
Customer Support Automation
LLM-powered support agents customized to your support documentation and tickets.
Code Generation & Developer Productivity
Streamlining Internal Engineering Tasks
Data Analysis & Reporting
Effortless Natural Language Queries
Workflow Automation
AI systems that autonomously manage end-to-end, multi-step processes.
iGaming Personalization
AI-supported applications and services that enhance the gaming experience, as well as provide advice on odds and wager placement.
iGaming
Sportsbook and casino operators implementing AI to provide personalization and fraud detection, as well as automate integration with the Player Account Management system.
Healthcare
AI solutions that comply with HIPAA for support and automated document generation.
Fintech
AI solutions that support fraud detection, automated document processing, and AI-supported virtual assistants.
Retail & E-Commerce
Automated generation of product content and recommendation systems.
Enterprise SaaS
Direct integration of generative AI capabilities into existing platforms.
Domain Verticals
Industries We Serve
We develop generative AI solutions for industries where precision, regulation, and data sensitivity are of the utmost importance.
Tech Toolkit
Our Technology Stack
Our generative AI development services extend beyond a single model and infrastructure, preventing vendor lock-in.
LLMs
OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models (Llama, Mistral) for economically sensitive and expected on-prem deployments
Retrieval & Vector Infrastructure
RAG (retrieval-augmented generation) frameworks paired with a vector database to provide context for and reduce hallucination in generated outputs.
Cloud & MLOps
AWS, Azure, and GCP deployments with built-in monitoring, versioning, and rollback
Fine-tuning Services
Parameter-efficient fine-tuning (LoRA/QLoRA) for secure, cost-effective customization
Delivery Process
Our Generative AI Development Process
Architecture & Model Selection
Selecting between proprietary APIs, open-source models, and fine-tuning, prioritizing cost, latency, and data sensitivity
Prototype → Pilot → Production
We deliver a working prototype to validate with users, then harden for scale
Testing, Evaluation & Guardrails
We perform output evaluation and bias testing, and implement safety guardrails prior to go-live
Deployment, Monitoring & Optimization
Monitoring and implementing continuous optimization and retraining triggers post-deployment
Our Strengths
Why Choose Us as Your Generative AI Development Partner
Other generative AI enterprises either offer impressive but useless prototypes, or are loaded with bureaucracies. We provide neither:
Choosing the right generative AI development company is simple, as we outline every engagement, allowing you to confirm the ROI before scaling.
Service Options
Engagement Models & Pricing
We provide several options for our clients to work with our team:
- 01
Fixed-Price Proof Of Concept
Assess the technical feasibility of ideas with no obligation to continue to a full build.
- 02
Dedicated Team/Time & Materials
Hire generative AI developers for continuous development for a set monthly fee.
- 03
Full Enterprise Engagement
End-to-end generative AI development services from planning to post-deployment support.
The typical range for investment is anywhere from a scoped proof of concept to a multi-phase enterprise-level platform. The investment is dependent on the readiness of the data, how intricate the integrations are, and if there is a need for developing custom LLMs or tuning tasks. After we conduct discovery, we will provide an exact figure, not a placeholder.
FAQ
Frequently Asked Questions
Stuck on something? We're here to help with all your questions answered in one place.
Cost is defined by the scope, and custom LLM development or fine-tuning can lead to large costs (enterprise). Expect to pay at least 10K for a defined proof of concept. We only provide costs after the discovery phase.
Time is also defined by the scope. Expect a minimum of 3 months for fine-tuning. Proofs of concept generally take no longer than 8 weeks to implement.
We establish scope for data handling, residency, and access restrictions before any model interfaces with your data. For the regulated domains you mentioned (e.g., Health Care, FinTech, iGaming), we purposefully embed the regulatory architecture within the model rather than build it in later as an add-on.
Yes. Our AI integration services connect generative AI directly to your already built-out CRM, ERP, data warehouses, and other services within your technology stack instead of requiring a full rebuild.
Generative AI is development that creates new content. The rest of AI/ML development involves predictions and classifications, generally using pre-existing data. This includes things like predicting whether or not a customer will leave (churn prediction) or fraud scoring (classifying transactions as likely fraud or not).
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