We integrate GPT-4o, Claude, Gemini, and open-source LLMs into your business systems — CRM, ERP, web apps, and internal tools — with secure API architecture, private data handling, and full IP ownership. No vendor lock-in. Your data never trains public models.
From a simple API wrapper to a full enterprise-grade private AI stack — we build exactly what you need.
Embed GPT-4o or Claude 3.5 into your web app, mobile app, or internal tool — with your branding, your system prompt, and your access controls.
Design secure, rate-limited, cost-monitored API layers between your systems and LLM providers — with RBAC, audit logging, and prompt injection protection baked in.
Connect your private documents, databases, and knowledge bases to any LLM using Retrieval-Augmented Generation — grounding answers in your data, not the model's training set.
Add AI-powered document summarization, email drafting, deal scoring, and data extraction to Salesforce, HubSpot, SAP, and other enterprise platforms.
Deploy open-source models (Llama 3.1, Mistral, DeepSeek) inside your own VPC or on-premise — zero external API calls, your data never leaves your infrastructure.
Token usage monitoring, intelligent caching, model routing (cheap model for simple tasks, expensive for complex) — typically cutting LLM costs by 40–70% vs. naive API integration.
We're model-agnostic — recommending the right model for your use case, not the one that's easiest for us to work with.
Highest capability general intelligence. Ideal for complex document analysis, code generation, and multi-step reasoning tasks.
Best for reasoning200K context window, exceptional at summarization, long-form document understanding, and nuanced instruction following.
Best for long docs1M token context window with native image and video understanding. Best for multimodal enterprise workflows.
Best for multimodalDeploy entirely in your VPC. Zero external API calls, maximum data privacy, and no per-token costs at scale.
Best for privacyStrong performance at significantly lower cost than GPT-4. Excellent for high-volume inference workloads.
Best for cost/perfState-of-the-art performance on coding and math benchmarks at a fraction of GPT-4 pricing. Ideal for developer tools.
Best for codeSecurity-first, architecture-driven. No copy-paste API wrappers — proper enterprise integration built to last.
We map your system architecture, data classification, compliance needs, and cost targets before writing a single line of integration code.
We recommend the right model(s) for your use case — and design a layered architecture with fallbacks, caching, and cost controls baked in.
Build the integration with RBAC, rate limiting, prompt injection guards, token usage monitoring, and full audit logging.
Connect your internal knowledge, databases, and documents to the LLM via RAG pipelines — so answers are always grounded in your real data.
Adversarial testing for jailbreaks, hallucination detection, edge case handling, and performance benchmarking before any production exposure.
Production deployment with real-time dashboards showing token usage, cost per query, latency, and hallucination flags.
Book a free 45-minute architecture session — we'll review your use case, recommend the right model, and design a secure integration architecture before you write a single line of code.
We are model-agnostic and work with the full spectrum: OpenAI (GPT-4o, GPT-4 Turbo, GPT-3.5), Anthropic (Claude 3.5 Sonnet, Claude 3 Opus), Google (Gemini 1.5 Pro, Gemini 1.5 Flash), Meta (Llama 3.1 70B/405B), Mistral Large, and DeepSeek V3/R1. We recommend the right model based on your performance needs, privacy requirements, and cost targets — not based on what's easiest for us.
No. We use OpenAI's enterprise API tier (with data not used for training), and implement RAG architectures where your proprietary data stays in your own vector database and is never permanently sent to the model. For maximum privacy, we can deploy open-source models (Llama 3.1, Mistral) entirely within your VPC — zero external API calls, zero data exposure.
We implement a multi-layer cost optimization strategy: (1) Semantic caching — identical or near-identical queries reuse cached responses, cutting repeated API costs by 40–60%; (2) Model routing — simple queries go to cheaper models (GPT-3.5, Mistral 7B), complex ones escalate to GPT-4o; (3) Token optimization — prompt engineering to minimize token usage without losing accuracy; (4) Real-time monitoring dashboards tracking cost per query, daily spend, and anomaly alerts. Clients typically see 40–70% LLM cost reduction vs. naive API integration.
A focused integration (e.g., adding GPT-4o document summarization to an existing web app) typically takes 2–4 weeks. A full enterprise RAG system with multiple data sources, private model deployment, and comprehensive monitoring takes 6–10 weeks. We always start with a 1-week discovery sprint that produces a detailed architecture document and cost estimate — so you know exactly what you're getting before the main build begins.
Yes — we've integrated AI capabilities into Salesforce, HubSpot, SAP, and custom-built CRMs. Common use cases include: AI-drafted email responses, deal scoring based on conversation analysis, automatic CRM record enrichment from call transcripts, intelligent document extraction into structured CRM fields, and AI-powered sales coaching. All integrations are built via secure APIs with RBAC and full audit logging.
We use structured QA workflows, automated testing suites, architectural reviews, and security assessments to meet enterprise performance standards.
Bitlyze® stands out due to our commitment to quality, innovation, and client satisfaction. We bring a wealth of experience across various industries and offer tailored solutions that align perfectly with your business goals.
We employ a rigorous quality assurance process that includes automated testing, code reviews, and user acceptance testing to ensure our solutions meet the highest standards of performance and reliability.
At Bitlyze®, we take confidentiality very seriously. We are happy to sign NDAs to ensure your project details and sensitive information remain protected throughout the entire development process.
We design our solutions with scalability in mind, using a modern, flexible technology stack that allows your software to grow with your business and adapt to future demands.
We follow an agile project management approach that ensures transparency, regular updates, and continuous client involvement throughout the development process. This approach helps us stay aligned with your goals and deliver results efficiently.
Certainly! We specialize in modernizing legacy systems and upgrading existing applications to enhance performance, security, and user experience while ensuring a smooth transition with minimal disruption.
We serve a wide range of industries, including healthcare, finance, E-Commerce, and more. Regardless of the project's scale, our team is equipped to deliver robust, scalable solutions tailored to your business needs.
Absolutely! We offer comprehensive post-development support and maintenance services, including bug fixes, updates, and feature enhancements, to ensure your software continues to perform optimally.
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