Akveo designs and deploys secure AI infrastructure tailored to the specific demands of your business operations.
We connect your existing apps with LLMs to automate content creation, synthesize vast document repositories, and generate contextual business insights.
What you get:
We build robust pipelines that ingest and format fragmented data from disparate silos, making it instantly consumable for your AI models.
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Our experts can help you link AI intelligence with your daily operational software and allow systems to analyze context and execute multi-step processes autonomously.
What you get:
We engineer secure and fully compliant AI environments for heavy enterprise workloads so that your organization can scale data intelligence without technical or regulatory risk.
What you get:
Our technical architects can assess your active infrastructure, evaluate data readiness, and design a low-risk roadmap for embedding AI.
What you get:
Our team delivers conversational AI assistants that understand user intent and resolve complex queries autonomously.
What you get:
Discover how we help organizations eliminate operational bottlenecks by adding smart capabilities into their everyday workflows.
6 months to AI launch
US-based fintech company WealthFluent needed to transform its platform into an intelligent companion that could explain complex data to users in plain English. We engineered a conversational AI assistant on Amazon Bedrock with a smart data pre-processing layer to deliver lag-free answers about live transactions. The system successfully automates 100% of initial user onboarding and allows the client to swap in newer AI models without rewriting code.
50% faster data retrieval
A major consulting company was looking for a faster way for operators to access real-time production data within their Factory Intelligence platform. Over a 5-month timeline, our team developed an AI-powered chatbot leveraging Azure OpenAI (GPT-4), SemanticKernel, and Azure AI Search. It integrates across SQL databases, PDFs, and REST APIs to let manufacturing teams instantly query live telemetry, equipment configurations, and KPIs using natural language.
7-month delivery timeline
Akveo designed and developed a scalable, multi-tenant platform using OpenAI, NestJS, and Stripe for EU-based language services company Skrivanek. The completed system features an AI-driven curriculum that adapts dynamically to individual learner profiles, robust organization-level user management with role-based access, and an automated payment infrastructure built to handle complex subscription billing.
Akveo designs and deploys secure AI infrastructure tailored to the specific demands of your business operations.
We inject cutting-edge AI capabilities straight into your active applications, keeping your stable core code intact and eliminating the downtime of a full system rebuild.
We design highly intuitive interfaces and natural language conversational UIs that turn overwhelming datasets into actionable insights.
With practical experience across highly regulated sectors, we can translate your industry's specific KPIs and operational logic into high-performing AI features.
Our engineers implement strict token management strategies, intelligent caching, and smart data pre-processing layers to filter inputs before they reach the LLM.
Our experts evaluate how AI integrations will impact your end-user experience and overall operational workflows to ensure that every feature drives tangible business value.
We stay by your side long after deployment. We audit model outputs for accuracy and update underlying code to keep your infrastructure optimized.
We transform disconnected application stacks into unified systems to accelerate operational velocity across the entire organization.
We build specialized intelligence layers that target the unique needs and security standards of your specific sector to drive measurable results.
Our team embeds AI tools to deliver hyper-personalized learning curricula, automate onboarding, and adjust educational content based on real-time learner performance.
We connect intelligent AI copilots to your factory floor telemetry and IoT databases, enabling operators to query live production KPIs and track active orders using natural language.
Our developers deploy document intelligence pipelines and predictive risk models that accelerate claims processing and automate underwriting evaluations.
We engineer secure financial assistants to automate user onboarding, synthesize massive transaction data streams, and provide real-time budget insights.
Our custom AI integrations optimize fleet logistics and dealership operations by forecasting parts demand and automating conversational follow-ups to maximize client lifetime value.
We build predictive ML models and NLP systems that optimize resource distribution and quickly parse long-cycle commercial contracts to extract key obligations.
Our engineers deliver high-throughput AI solutions that analyze multi-source data to forecast seasonal shipment volumes and dynamically optimize routes.
We develop HIPAA-compliant AI pipelines that securely parse clinical data, automate administrative charting, and streamline patient care coordination.
We select technologies that guarantee rapid data pre-processing and high security to keep your automated data pipelines reliable and cost-optimized under intense corporate workloads.
We do not offer one-size-fits-all partnerships. We evaluate your current software and technical needs to build a collaboration model that aligns with your goals.
We embed an autonomous team of AI engineers, data specialists, and full-stack developers into your internal processes to continuously build, test, and ship intelligent capabilities.
Best for: Long-term model fine-tuning, ongoing RAG optimization, scaling multi-agent orchestrations across enterprise platforms
You bring us your business logic and specific operational bottlenecks. We deliver a turnkey, fully integrated AI solution within a fixed timeline and budget.
Best for: Launching custom AI copilots from scratch, rapid functional prototyping, AI CRM integration services
Plug niche AI and ML expertise straight into your existing product team. Get the exact skills you need without committing to permanent headcount.
Best for: Meeting critical product launch deadlines, setting up secure MLOps pipelines, filling skill gaps
AI integration is the process of embedding machine learning models, natural language processing, or computer vision into your existing software solutions. Instead of using standalone AI tools, you can layer intelligence straight into your active databases and workflows. This connects your corporate data with advanced models to automate manual tasks natively.
We deploy AI through AWS Bedrock or Microsoft Azure AI instead of connecting directly to model providers. The models run within your existing cloud environment, so your data meets rules and security standards. This protects organizations from costly privacy violations and severe corporate reputational damage.
Timelines depend entirely on project complexity and data readiness. A functional prototype built to validate a specific concept can take several weeks. However, when you need to engineer a fully compliant enterprise system, it typically requires five to seven months. This process includes thorough testing, proper database synchronization, custom UI design, and comprehensive security compliance audits.
Yes. There is no need to tear down your existing software. At Akveo, we inject intelligent models by layering them directly onto your active platform with secure APIs and specialized orchestration middleware. Your core infrastructure remains completely intact. This method introduces next-gen automation features into your daily workflows while entirely avoiding the risk and massive expense of a codebase rewrite.
Our AI integration services cover the entire development lifecycle. We can handle upfront technical consulting, data cleansing, vector database engineering, and custom RAG pipeline architecture. We also design user-friendly interfaces, establish role-based access security, and implement monitoring dashboards to track ongoing token costs and model accuracy. All this helps us ensure that your solution remains optimized long after the initial launch.
95% of our partners continue working with us beyond the initial scope and more than 70% stay with us for 2+ years.
