Less Manual Work Across Teams
Our integrations draft replies, summarize documents, and update records inside your CRM and internal tools, so your team stops copying data between systems and focuses on higher-value work.


Generative AI can transform how your business creates content, serves customers, and automates workflows but only when it's integrated correctly, grounded in your data, and built to scale past the pilot stage. Code B helps businesses design, build, and deploy generative AI systems from conversational chatbots to custom LLM integrations connected directly to your existing products and workflows.
70+
Projects Launched
50+
Satisfied Customers
7+
Years Experience
97%
Client Retention
As a trusted global software development partner, we bring dedicated expertise and proven delivery experience to support enterprise-grade software solutions worldwide.

Our achievements reflect our dedication to quality and expertise across various fields. With certifications in industry standards and partnerships with leading platforms, we uphold the highest benchmarks in software development and service delivery. Trust in our commitment to excellence for your projects.




















Generative AI integration is the work of connecting models like GPT, Claude, Gemini, or open-source LLMs to your CRM, ERP, and internal tools, so AI works on your own data inside the workflows your team already uses. Our artificial intelligence integration services cover the full connection: secure APIs, data pipelines, retrieval over your documents, and guardrails around what the model can say and do.
In practice, this can mean a support assistant that answers from your knowledge base, search across internal documents, automated drafting inside your CRM, or an agent that completes multi-step tasks across your systems. Our AI integration services are model-agnostic, so you keep ownership of your data and can switch or add models as better ones arrive.
Our integrations draft replies, summarize documents, and update records inside your CRM and internal tools, so your team stops copying data between systems and focuses on higher-value work.
Automating repetitive requests and document handling cuts manual effort, so volume grows without headcount growing at the same pace. We choose models with long-term usage cost in mind.
We set up generation of product descriptions, campaign copy, and training material from your own data in your brand voice, with your team reviewing before anything goes live.
We build assistants trained on your knowledge base that answer routine questions around the clock and hand complex cases to your team with the context already attached.
Recommendations, messages, and in-product suggestions adapt to each user’s behavior and data, and appear inside the product your customers already use.
Natural-language search and summaries over your documents and databases give teams quick, source-backed answers instead of hours spent digging through reports.
Connect GPT, Claude, Gemini, or open-source LLMs directly into your existing applications, CRMs, and internal tools. We handle the API layer, prompt architecture, and middleware so AI fits into what you already run.
We build retrieval-augmented generation pipelines that ground AI responses in your own documents and databases keeping outputs accurate and source-backed, not generic guesses pulled from public training data.
We design autonomous and semi-autonomous agents that handle multi-step workflows, customer support, and internal ops using LangChain and custom orchestration built around your processes.
We embed generative AI into your existing stack ERPs, CRMs, dashboards, and internal tools without disrupting current systems, layering AI into what already works instead of replacing it.
We fine-tune open-source and foundation models on your proprietary data adapting each model to your domain and use case, tuned for the accuracy demands of fintech, healthcare, and other regulated industries.
We start by auditing your systems and data mapping where generative AI creates real value, then scope a phased integration plan with clear priorities and timelines before any development begins.
Connect your applications, data, and existing systems to generative AI through well-planned integration solutions. We help businesses integrate LLMs, AI agents, and custom models with existing platforms, databases, and workflows to create connected, AI-powered systems that support real business operations.
Connect large language models like GPT, Claude, Gemini, or open-source alternatives into your existing applications and platforms. We design secure integration layers that allow your systems to send, receive, and act on AI-generated outputs as part of a connected technology stack.
Connect generative AI into existing business processes - customer support, internal operations, and repetitive tasks. We design AI agents and the orchestration logic that ties them together, built to plug into what your team already runs without disrupting current operations.
Connect applications, platforms, and AI models through secure and well-structured APIs. We develop, integrate, and manage the API layer that supports reliable communication between your systems and the AI models powering them.
Bring your documents, databases, and internal knowledge into a connected data environment that AI systems can actually use. We build retrieval pipelines grounded in your own data, helping your systems stay accurate and source-backed rather than relying on generic model outputs.
Connect your applications with AI platforms, vector databases, model providers, and other third-party AI infrastructure. We handle the technical integration required to exchange data and automate interactions between your application and external AI services.
Connect older applications and legacy systems with modern generative AI capabilities while preserving essential business functionality. We create integration layers that allow legacy systems to work with AI tools, supporting gradual modernization without requiring an immediate rebuild.
From regulated finance to fast-moving retail, we provide AI integration services to businesses in the USA and worldwide. We build generative AI that fits how each industry actually works, grounded in real data and not generic prompts.
.png&w=1200&q=75)

Use Case & Data Discovery
We start with your business goals, workflows, and data to pinpoint where generative AI adds real value.
Model & Architecture Design
Our engineers choose the right model and design the integration, covering data access, APIs, and guardrails.
Build & Integration
We connect the model to your stack, build the retrieval and prompt pipelines, and test for accuracy and safety.
Launch & Continuous Improvement
Once live, we monitor output quality and cost, tune prompts and models, and keep improving as usage grows.

Talk to our AI integration specialists. We will review your business objectives and tools to estimate the resources required to implement AI into your workflows.
They have strong expertise in the latest technologies and provide excellent guidance in using them effectively.
CODE B launches the products quickly, and their solutions have excellent architecture and are scalable.
CODE B is proactive in coming up with solutions.
Aside from getting the job done, they’re able to provide their expertise and share their opinion.
They’re a very bright team that requires minimal levels of communication or time investment to be very effective.
Their constant communication was a key aspect of the success.
They completed the project within the timeline we gave them, and they did it within budget.
Had a great experience working with the team and in times of crisis, CODE B team was always there to support us.
The way that they have supported us by giving us one of their developers to work directly with our development team.
Our overall experience has been very positive.
They are friendly and reliable.
The ability to deliver on time impressed us the most.
They’re excellent at what they do and come up with solutions for various problems.
CODE B will work overtime to resolve issues, which is a difficult trait to find.
Code B’s communicative.
I’ve had a great experience working with CODE B
The main positive point of working with CODE B team is their analyzing skills.
They are receptive and try to adjust to meet our requirements.
Every recommendation is shaped around your real data, workflows, and roadmap not a theoretical demo. We choose model size and architecture based on how your systems actually operate.
Most generative AI failures come from data exposure, prompt injection, or poorly scoped API access not the model itself. We catch these risks before they ever reach production.
A sophisticated pipeline only helps if your team can run it after we're gone. We avoid over-engineered architectures, scoping every solution to your team's real capacity.
AI decisions touch engineering, product, compliance, and leadership at once. We document model choices and trade-offs in plain language, keeping every stakeholder aligned.
Token usage, API calls, and compute scale in ways that are easy to underestimate. We evaluate every model choice against long-term cost, so performance stays sustainable.
Model behavior drifts and usage patterns shift over time. We stay engaged past deployment with performance reviews and monitoring, so the system keeps delivering value.