Geniusee is a technology partner that helps businesses reduce support overload and make internal knowledge easier to organize, retrieve, and use with generative AI. Our engineers have worked on AI-powered support systems combined with workflow automation that reduced manual work by up to 90%.
With 250+ experts and R&D hubs in Austin, Warsaw, Stockholm, and Kyiv, Geniusee brings solid engineering capacity and a well-balanced pricing model to generative AI integration.
Businesses adopt AI faster when the value is clear. With Geniusee’s generative AI services, you get AWS-recognized genAI expertise, ISO 9001 and ISO 27001-certified processes, and custom Artificial Intelligence solutions for fintech, edtech, property, manufacturing, and other complex industries.
Cost optimization with AI-aided support
GenAI tools deliver suggestions, automate repetitive actions, and connect support workflows across systems, so operators can resolve requests with less manual effort. Our team helped build a generative AI system for support operations, delivering 15x average ROI and a 55% drop in response time, improving service speed and the economics of day-to-day support activities.
Efficiency through workflow automation
Centralize search, streamline matching, and reduce manual coordination in routine operations. Our engineers created a custom generative AI solution for recruitment workflows, reducing manual work by 85% and enabling candidate searches up to 90% faster. This gave teams more time for decisions that still require human judgment.
Stability through cloud optimization
GenAI projects often depend on resilient infrastructure, well-orchestrated services, and stable cloud environments that can support production workloads without disruption. Our developers helped modernize an AI-driven communication platform with near-zero downtime, making the system more reliable, easier to maintain, and better prepared for secure long-term operation.
Fewer errors with structured document flows
Improve document handling by organizing submissions, enabling parallel task execution, and reducing manual touchpoints. Our genAI engineers delivered a project integrating generative AI that improved processing speed by up to 200% while strengthening document accuracy and compliance across high-volume tasks.
K’CIDADE Academy: How we built an AI-powered learning platform for AKF Portugal
K'CIDADE Academy is AKF Portugal's professional learning platform for civil society organizations, educators, and community leaders. Built on adaptive learning pathways, an AI virtual tutor, and a gamified progress system, it delivers personalized training to professionals working across social inclusion, education, and community development.
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Scaling Edge AI & computer vision: QuantumEye real-time surveillance platform
Geniusee helped the QuantumEye AI platform that upgrades legacy CCTV with real-time detection, instant incident notifications, and decision-ready analytics.
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Anatomy Financial: Automated financial management software for healthcare
Anatomy introduces an innovative solution designed to automate document processing, compare various documents and banking transactions, and handle the intricacies of physical check processing. By conducting a thorough analysis, the system identifies discrepancies between the declared prices of medical procedures and the actual amounts received by the clinic.
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MartechCompose AI: Advanced content writing solution
We partnered with Compose AI to enhance their AI-powered writing platform through cloud migration, UX improvements, seamless integrations, and scalable feature development, upporting their growth from YC-backed startup to a widely adopted productivity tool.
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MartechForethought: Enterprise AI agents for customer support
Forethought partnered with Geniusee to extend and integrate its AI-powered support platforms (Assist and Discover) into complex enterprise environments. We helped enhance real-time agent assistance, streamline multi-system connectivity, and deliver a unified support experience across channels. The result is a scalable AI agent ecosystem that accelerates resolution times, boosts team productivity, and powers more consistent customer experiences.
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Enhancing FactMata’s AI to detect misleading content at scale
We partnered with Factmata to scale their AI platform for analyzing online content at volume, enhance data pipelines, and modernize their NLP models. Our team strengthened system performance, improved processing efficiency, and enabled Factmata to handle millions of records with higher accuracy and lower operational cost. By implementing our expertise in machine learning, natural language processing, and data analysis, we worked closely with FactMata to create web scrapers and optimize data pipelines and the project’s overall performance. The client addressed Geniusee to modernize their platform by combining real-time IoT data, AI analytics, and an intuitive user experience. The result: a scalable, secure, and analytics-driven ecosystem that helps enterprises make informed workspace decisions.
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We design AI systems with responsible use in mind, including data privacy controls, content filtering, hallucination guardrails, bias checks, PII redaction in LLM pipelines, audit trails, model transparency, and EU AI Act-aware governance where needed.
GenAI integration for mobile apps
Turn your mobile app into a more interactive, automation-ready product with generative AI development. Our team adds LLM-powered features with a mobile inference strategy designed around latency, privacy, and offline use cases, using either on-device or cloud execution. We optimize models for edge deployment with quantization and distillation, and integrate Google ML Kit or ONNX Runtime Mobile so chat assistance, search, and generated responses perform well in a real app.
AI chatbot development
Build intelligent chatbot solutions with generative AI, natural language processing, and ML to understand user intent, manage complex conversations, and deliver smarter responses. Our team creates custom genAI solutions with multi-turn context handling, intent routing, and function calling, helping customer conversations stay accurate, context-aware, and action-oriented. We add hallucination guardrails and use the right integration pattern, API-based or embedded, to automate communication.
Prompt engineering
We help businesses design effective prompts using generative AI to produce more accurate, relevant, and task-focused outputs. Our team designs system prompts, few-shot examples, and reasoning-friendly prompt structures to improve consistency and task fit. We also define structured outputs such as JSON mode and test prompts through evaluation frameworks, keeping prompt engineering separate from fine-tuning work.
Generative AI consulting
Our consultants help businesses identify where AI can deliver the greatest practical value, from process optimization to reduced operational overhead and fewer manual errors. We assess feasibility, define priorities, and build a clear roadmap for integrating generative AI into your environment.
AI agent development
Automate report generation, document extraction, internal knowledge search, and other routine tasks with agentic AI built for real business workflows. We design and launch genAI agents from prototype to production with tool use, function calling, planning loops, memory, and multi-agent orchestration built in. Our team can implement these systems with LangGraph, CrewAI, the OpenAI Agents SDK, or the Claude Agent SDK, and use MCP to connect tools and business context more cleanly.
AI cost optimization
Cut the cost of generative AI use by replacing oversized models with lighter, better-matched options and aligning cloud infrastructure with real demand. We audit your setup, adjust workloads, and configure services to enable more cost-effective cloud operations day to day.
GenAI PoC (Proof of Concept)
Start generative AI solutions development with a focused PoC that tests your idea, reveals implementation risks, and shows practical results early. Once your AI product concept proves its value, we can scale it into a production-ready system.
RAG and LLM integration
Use Retrieval-Augmented Generation and LLM integration to turn business data into usable answers and insights through scalable generative AI. We build RAG solutions that pull from structured and unstructured sources and grow with less time and infrastructure strain.
Enterprise AI architecture
Build enterprise-grade generative AI solutions with the security, scalability, and system reliability needed for production genAI use. We design architectures that support business-critical workflows, connect with internal platforms, and stay maintainable as adoption grows.
Certified AWS Partner delivering secure, scalable cloud-native solutions.
ISO-compliant processes ensuring quality, security, and reliability.
Trusted integration partner for financial data connectivity and open banking.
Team of ISTQB-certified QA engineers for world-class software testing.
Consistently rated ★5.0 by clients for reliability and delivery excellence.
Accredited partnership supporting advanced testing and continuous QA automation.
Discovery and feasibility study
When you engage our generative AI development services, we evaluate whether your idea is technically feasible, operationally useful, and worth scaling. We review constraints, identify likely implementation risks, and define the most practical path forward.
PoC with quick feedback
A focused PoC helps test the idea early, uncover weak points, and show whether the concept can deliver practical value in your environment. It gives you quick feedback before larger budgets and deeper implementation come into play.
Final integration
We integrate generative AI solutions into the final product in a way that fits your workflows, architecture, and growth plans. This turns an isolated prototype into a working system your teams can use and scale.
Cost optimization
Production AI needs ongoing tuning, not just launch support. We reduce operating costs through smarter inference decisions, including GPU versus CPU allocation, right-sized instances, caching layers, and model benchmarking across cost and quality. That helps keep infrastructure leaner without losing the output standard your use case depends on.
Support
We continue refining the solution as your needs change, usage grows, or the technology stack evolves. This helps the product stay stable, relevant, and effective after release.
Long-term expertise
Operating since 2017, Geniusee has delivered custom software across 180+ projects and built the technical depth needed for modern genAI work, including LLM integration and RAG pipelines, AI agents, prompt engineering, and workflow automation. From enterprise brands such as Dell and Bloomberg to growing startups, we help businesses turn advanced technology into measurable operational and commercial value.
Solid tech background
Our approach is shaped around the real constraints of each product, not a generic delivery pattern. With a team of 250+ domain-focused technology professionals, Geniusee can support projects involving genAI architectures, vector search, model orchestration, cloud deployment, and broader software engineering, while adhering to strong agile and quality management practices.
Flexible engagement models
Your goals define the delivery format. Whether you need a focused PoC, a dedicated team for genAI implementation, or long-term product support for LLM-based features, AI copilots, and platform-scale automation, we offer engagement models built around your roadmap, budget, and growth priorities.
What generative AI development services does Geniusee include?
Our scope usually starts with discovery, feasibility analysis, and use-case prioritization, then moves into PoC or MVP delivery, API integration, prompt engineering, QA, deployment, and next-step documentation. Beyond that, Geniusee also publicly offers adjacent capabilities, including AI chatbot development, LLM development, RAG, AI-powered app development, and AI consulting.
Why is Geniusee a trusted generative AI development company?
Geniusee has been operating since 2017, lists 250+ experts and 180+ projects, works under ISO 9001 and ISO 27001 standards, and holds AWS Advanced Tier Partner status with additional AWS delivery validations. On Clutch, the company currently has a 5.0 overall rating with 66 verified client reviews, demonstrating delivery quality and client satisfaction.
When do generative AI consulting services make the most sense?
They are most useful when you know AI could help, but the right use case is still fuzzy. Geniusee’s AWS Marketplace offering for GenAI discovery is built around business-case validation, technical feasibility analysis, ROI scoring, use-case prioritization, data-readiness review, and PoC planning, which makes it a practical entry point before full implementation.
What services do you provide to help us validate an idea before full rollout?
The company’s process is designed to reduce guesswork early: discovery and strategy, technical assessment, implementation planning, and then PoC or MVP delivery with feedback loops. That structure is useful when a team needs to test whether a genAI feature will create measurable value before investing in a larger product build.
What AI development services to help regulated or complex products do you offer?
Geniusee works across fintech, edtech, retail, and real estate, and pairs AI delivery with software engineering, cloud services, integration, and QA. For secure environments, the company also points to ISO-aligned delivery practices and AWS credentials, including Advanced Tier status plus delivery designations for Lambda, API Gateway, and RDS.
Can you seamlessly integrate generative AI into an existing product instead of rebuilding everything?
Yes. Geniusee’s public GenAI offer includes API integration, model fit review, architecture planning, QA, DevOps services, and deployment, and the company frames its work around integrating AI into existing business processes rather than treating it as a standalone demo. That matters when you need new capabilities inside a product people already use every day.
How can a business leverage generative AI without creating a security headache?
The safer route is to start with clear access controls, secure integrations, and an implementation plan shaped around your actual data flows. Geniusee states that it operates under ISO 9001 and ISO 27001 standards and uses NDAs, secure access protocols, and role-based permissions to protect client IP and confidential assets during delivery.
