Bei Akveo unterstützen wir Sie dabei, der Konkurrenz einen Schritt voraus zu sein – mit individuellen LLM-Lösungen, die speziell für Ihr Unternehmen entwickelt wurden.
Our technical experts evaluate your current business operations to identify high-impact use cases for Large Language Models and craft a low-risk roadmap for AI adoption.
What you get:
We develop and launch feature-rich AI applications designed to optimize the way your organization operates day-to-day.
What you get:
Our experts connect cutting-edge foundation models like OpenAI, Anthropic, Gemini, and Llama into your corporate apps and business infrastructure.
What you get:
We connect LLMs securely to your corporate documents and knowledge bases to enable hallucination-free responses based on your real-time data.
What you get:
Our engineers create conversational bots that deliver accurate, context-aware answers to streamline customer support and internal workflows.
What you get:
We design robust prompt architectures and safety filters that keep model outputs accurate, structured, reliable, and compliant with enterprise policies.
What you get:
Erfahren Sie, wie unsere maßgeschneiderten LLM-Anwendungen und KI-Agenten messbare Ergebnisse in Ihren Geschäftsprozessen liefern.
100% regulatory compliance
US-based fintech company WealthFluent aimed to turn its platform into an intelligent financial companion without violating strict US SEC/FINRA regulatory advice boundaries. We built a multi-agent AI assistant on Amazon Bedrock (Anthropic Claude) orchestrated via LangGraph. The platform delivers zero-hallucination portfolio insights, automated rebalancing recommendations, and proactive budget tracking in real time.
50% faster data retrieval
A global consulting firm needed to eliminate severe data bottlenecks in their proprietary Factory Intelligence Platform. Akveo engineered Factory Copilot, an Azure OpenAI and Semantic Kernel-powered assistant. The solution provides real-time telemetry, predictive maintenance alerts, and dynamic chart visualizations, as well as maintains strict role-based enterprise security.
3 key platform pillars built
Skrivanek partnered with Akveo to build a comprehensive SaaS language learning platform to deliver tailored educational content across European markets. We developed a scalable AI-powered system that automatically adapts language lessons to each student's skill level. It features flexible user roles for students, business clients, and admins, along with automated payments for individual and corporate subscriptions.
Bei Akveo unterstützen wir Sie dabei, der Konkurrenz einen Schritt voraus zu sein – mit individuellen LLM-Lösungen, die speziell für Ihr Unternehmen entwickelt wurden.
We design software that fits into your actual daily operations. You can be sure that your system handles multi-step logic reliably without breaking when edge cases appear.
Our team implements structured output schemas and strict evaluation pipelines to ensure that every output is verifiable and grounded in your source data.
Our developers build smart data pre-processing layers and dynamic model routing logic that allow you to use smaller models for simple tasks and heavy-duty models only when necessary.
We create intuitive UIs and natural conversational flows that turn complex data streams into decision-ready inputs for your team.
Our experts draw on years of practical work across industries to align model logic with your sector's compliance standards and key performance metrics.
We continuously monitor model accuracy, track drift, refine prompt logic, and optimize resource usage post-launch to keep your application fast and cost-efficient.
Wir verwandeln fragmentierte Daten und Workflows in zuverlässige LLM-Anwendungen, die die tägliche Entscheidungsfindung in Ihrem gesamten Unternehmen beschleunigen.
Wir passen unsere maßgeschneiderten Large Language Models an, um die spezifischen betrieblichen Engpässe Ihrer Branche zu beheben und regulatorische Anforderungen zu erfüllen.
We build HIPAA-compliant LLM applications that summarize patient histories, extract insights from clinical notes, and streamline administrative reporting.
Our team delivers solutions to automate financial document parsing and deliver accurate risk analysis without exposing sensitive customer data.
We connect natural language interfaces to your ERP, supply chain, and telemetry data. This allows your staff to query maintenance logs and operational KPIs.
Our experts develop adaptive AI engines that create personalized learning paths and generate interactive educational content.
We implement specialized document intelligence workflows that automate policy parsing and extract critical risk factors from dense underwriting files.
Our custom solutions power personalized in-car virtual assistants, optimize supply chain operations, support autonomous driving software, and enable predictive maintenance.
We build specialized solutions powered by Large Language Models to analyze environmental compliance documents, parse complex commercial contracts, and optimize smart grid operations.
We engineer custom LLM apps that process unstructured multi-carrier shipping documents and can significantly streamline operational communications.
Unser Tech-Stack stellt sicher, dass Ihre LLM-Anwendungen komplexe Arbeitsabläufe bewältigen und gleichzeitig die Infrastruktur- und API-Kosten im Griff behalten.
Wählen Sie das Modell, das am besten zu Ihrem Team passt.
Unsere Experten analysieren Ihre Anforderungen genau und entwickeln eine gezielte Lösung, um Ihre Idee zu prüfen und Kernfunktionen zu validieren.
Zeitrahmen & Kosten: 4-6 Wochen, typischerweise 15.000 $
Sie nennen uns eine konkrete betriebliche Herausforderung, und wir entwickeln ein LLM-gestütztes System mit strenger Daten-Governance und API-Integrationen.
Zeitrahmen & Kosten: 3-5 Monate, ab 60.000 $
Erweitern Sie Ihr Team um erfahrene Entwickler, um Ihre internen Kapazitäten zu stärken und die Bereitstellung von Anwendungen zu beschleunigen.
Zeitrahmen & Kosten: Onboarding in 1-2 Wochen, monatliche Rate
We minimize hallucinations by grounding models in your enterprise data using Retrieval-Augmented Generation (RAG), enforcing strict system prompts, and applying temperature controls. We also implement validation layers and guardrail frameworks that evaluate generated outputs against real-time database source material before returning responses to users.
Yes. We build custom API connectors that integrate LLM workflows with platforms such as Salesforce, HubSpot, SAP, and Microsoft Dynamics. This enables models to access live business data and automate daily operations without disrupting your existing workflows.
Retrieval-Augmented Generation (RAG) is a technique that retrieves relevant information from your private vector databases before the large language model generates a response. By grounding the model in your organization's documents instead of relying solely on its training data, RAG improves response accuracy and reduces hallucinations.
We build domain-specific AI copilots, intelligent document processing systems, conversational search solutions, autonomous multi-agent systems, custom Retrieval-Augmented Generation (RAG) architectures, workflow automation agents integrated with CRM and ERP platforms, and fine-tuned foundation models optimized for enterprise security, scalability, and performance.
Custom LLM solutions allow you to integrate tailored AI into your existing software while keeping business data secure and grounding responses in your actual records. They can automate daily tasks across your systems, improve operational efficiency, and help you control cloud computing and API costs.
95 % unserer Kunden setzen die Zusammenarbeit nach dem ersten Projekt fort, und mehr als 70 % arbeiten seit über zwei Jahren mit uns zusammen.
