Generative AI & LLM Solutions
We design and build enterprise-grade Generative AI systems including assistants, copilots, document Q&A engines, content automation workflows, and secure LLM-powered applications. Using prompt engineering, RAG pipelines, custom APIs, and model safety policies, we deploy reliable solutions that unlock productivity, create content at scale, and augment human expertise.
Enterprise LLM Apps & Retrieval Systems
From high-value assistants to grounded, gated and scalable LLM deployments.
RAG Systems & Document Intelligence
We integrate vector search, chunking, metadata storage, and hybrid retrieval to build reliable RAG pipelines over documents, tickets, and knowledge sources. Our document Q&A systems produce factual answers with source citations and safety filters, outperforming base LLMs in accuracy.
AI Assistants & Team Copilots
We build task-based assistants for support, operations, HR, sales, and finance workflows. These copilots integrate APIs, policies, and validation steps and let users call business actions from chat. Smart fallback logic ensures safe execution with guardrails and human approvals.
Custom LLM Apps & Prompt Engineering
We identify use-case patterns and design repeatable prompts, tool schemas, helper functions, and safe output formatting for domain-aligned usage. Includes context engineering, long-form structuring, form extraction, and persona safeguards.
Multi-Agent Workflows
We orchestrate multiple agents with tool use, break-down planning, delegated subtasks, retry logic, and memory systems. Best suited for multi-step workflows like lead research, compliance checks, document analysis, and process automation.
Content Automation Workflows
Batch automation systems generate personalized product content, support replies, ad creatives, briefs, and multilingual variations. Approval flows, brand style rules, and audit capabilities ensure consistent, high-quality output across channels.
LLM Observability & Cost Controls
We monitor accuracy, drift, latency, failures, and user satisfaction. Token budgets, caching strategies, and fallback routing reduce operational cost while maintaining safety and quality.
Tech Stack For Generative AI & LLM Solutions
Next.js / ReactAngular
Next.js / React
Build fully-featured chat UIs, retrieval panels, data annotation apps, and admin consoles with reactive design, streaming APIs, and real-time analytics. Supports seamless user authentication, roles, alerting, and fallback controls for enterprise deployments.
Why Choose Hyperbeen As Your Software Development Company?
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Powerful customization
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Winning Award
Types of Solutions We Deliver
01LLM App Development
We build domain-specific copilots, chatbots, QA systems, auto-fill tools, and workflow assistants powered by GPT, Claude, or open-source models. Each app includes retrieval grounding, safety checks, and audit layers. Works across web, mobile, and SaaS platforms with customizable prompts, roles, control flows, and enterprise authentication.
02Fine-Tuning & Custom Embeddings
We train models on your private documents, conversations, regulations, or process data. Custom vectors, embeddings, and prompt layers make LLMs accurate, secure, and domain-aware. This reduces hallucinations and ensures responses follow your tone, rules, and brand vocabulary while enabling fully private, compliance-first deployments.
03RAG (Retrieval-Augmented Generation)
We build RAG pipelines for real-time knowledge grounding via vector search, chunking, metadata filters, and source-linked answers. Supports Legal, Support, Medical, HR, and Finance use cases. Works with SQL, PDFs, SharePoint, S3, Notion, or custom datasets. Output stays factual, traceable, and explainable for high-trust environments.
04Multi-Agent AI Workflows
We create AI agents that break tasks into subtasks — such as research, drafting, validation, and summarization — and coordinate them autonomously. Useful for operations, research, finance, content, or engineering use cases. Includes human-in-loop controls, audit logs, retry logic, and role containers for safe automation.
05Model Deployment & Optimization
We deploy LLMs using GPU scaling, token batching, prompt caching, quantization, streaming, and routing. Works on AWS, Azure, GCP, or on-prem GPUs. Includes usage control, per-user limits, and observability. Reduces cost per request while improving latency and stability for high-traffic enterprise workloads.
06AI Safety, Compliance & Guardrails
We enforce data masking, prompt firewalls, toxicity filters, content validation, and jailbreak prevention. Our compliance layers satisfy SOC2, GDPR, HIPAA, or ISO 27001. Every response includes source auditing, confidence logs, and policy enforcement for high-stakes business environments like healthcare, legal, or financial services.
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Frequently asked
questions.
Absolutely! One of our tools is a long-form article writer which is
specifically designed to generate unlimited content per article.
It lets you generate the blog title,
Yes, through training or LoRA on domain-specific datasets when necessary.
Yes, with routing, fallbacks, usage tracking, and API abstractions.
We use filtering, logging, rate-limits, and validation workflows.
Yes, full ownership is retained and portable across deployments.
Contact Info
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