We build AI that grows with your business. And works from day one.
Our AI agents and apps automate workflows, assist customers, and accelerate decisions with real results from the start.
Most companies see 30–50% gains in efficiency without major investments or long contracts.
Flexible terms. No lock-ins. Transparent pricing.
AI that solves real problems. Built with precision – not hype.
Cognitiva builds tailored AI solutions that leverage data and advanced AI models to deliver measurable business results. We help companies automate workflows, improve decisions and reduce manual effort through intelligent systems grounded in real-world use cases.
Our team combines deep technical expertise with a pragmatic, business-first approach. Every product we build is tailored to the client’s specific needs - from early prototypes to full-scale, production-ready applications. No black boxes, no over-engineered solutions - just practical AI that works!
We offer AI solutions through flexible collaboration models - whether you need full-cycle development, a quick prototype,
or additional expertise embedded in your team.
Custom AI Solutions
AI tailored to your unique problem, infrastructure and data - nothing off-the-shelf..
AI Consulting
Navigating the complexity of AI requires clarity and focus. We cut through the noise to build actionable roadmaps aligned with your business priorities - using clear language, not buzzwords
End-to-End AI Model Development
From concept to deployment, we handle the full cycle - strategy, design, implementation, and support..
Team Extension
Our experts join your team to boost delivery capacity, fill knowledge gaps or accelerate timelines.
Proof of Concept & MVP
Test ideas quickly and reduce risk with functional prototypes before scaling.
Our Offering. What We Do.
AI Expertise That Drives Results
We apply AI where it brings the most value - automating processes, predicting outcomes and making data easy to understand and act on.
Automation & AI Decision Tools
Let AI agents handle repetitive tasks and guide decisions, so your team can focus on what really matters.
What it covers:
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Process automation - using AI to handle repetitive tasks and reduce manual workload
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Decision support systems - assisting humans in making accurate, data-informed choices
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AI agents - autonomous assistants that respond, trigger actions and assist in daily operations
Example applications:
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Customer inquiry handling - AI agents automatically respond to common customer questions via chat or email
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Internal process automation - approving requests, managing workflows or assigning tasks without manual intervention
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Employee onboarding assistants - agents guiding new hires through internal procedures, tools and documentation
Key value:
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Save time, reduce errors, and enable faster, more consistent decision-making with AI-driven automation and agent-based support.
Prediction & Personalization
Know what’s coming. Know what matters. Let AI help you act before the moment arrives.
What it covers:
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Predictive analytics - forecasting future outcomes, trends or failures
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Recommendation systems - dynamically adapting content or offers to individual users
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Behavioral segmentation - clustering users based on patterns to improve targeting and personalization
Example applications:
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Demand forecasting algorithms for inventory or staffing
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Churn prediction models to identify customers at risk of leaving
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Forecasting campaign performance for marketing or sales team
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Product recommendations based on real-time user behavior and preferences
Key value:
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Anticipating future events and adapting to individual customer needs - automatically, at scale.
Data Analytics & Reporting
See the full picture, understand the why and move your business forward with clarity.
What it covers:
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Descriptive analytics - turning raw data into structured insights and easy-to-read reports
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AI-generated reports - automatic summaries and recommendations based on data
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Real-time monitoring - tracking key performance indicators and metrics as they happen
Example applications:
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Sales dashboards with real-time performance tracking
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Company-wide KPI monitoring and reporting
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Business Intelligence (BI) systems for custom analytics and visualizations
Key value:
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Make smarter business decisions based on reliable data, not guesswork.
AI Infrastructure & Model Optimization
Lay the technical foundation for scalable, efficient and production-ready AI.
What it covers:
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Model optimization - reducing latency, memory usage and training time without sacrificing accuracy
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MLOps - automating the lifecycle of AI models: training, deployment, monitoring and version control
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Model fine-tuning & compression - adapting models to your data and infrastructure constraints
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Deployment at scale - ensuring your AI runs smoothly in production, across devices or cloud environments
Example applications (cross-industry):
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Accelerating time-to-market for new AI features
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Reducing cloud costs through model optimization and efficient resource allocation
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Creating reusable, versioned pipelines for rapid experimentation and deployment
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Adapting open-source or foundation models to business-specific needs
Key value:
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Build AI that’s not just smart - but fast, lean, and ready for real-world scale. Reduce cost, increase control and maintain performance across environments.
Join the AI Agent Launchpad - Build Smarter, Faster, With Less Risk
Fast-track your business with custom AI agents and agentic workflows - from MVP to scalable product.
Whether you're building an investor-ready prototype, preparing to scale as an SMB, or seeking to modernize complex workflows at the enterprise level - our AI Agent Launchpad provides everything you need to design, develop, and deploy intelligent agents that deliver measurable value from day one.
→ Let’s build your AI advantage.
What AI agents bring to your business
AI agents are autonomous AI systems that can perceive their environment, reason based on available data, and take actions to achieve defined goals. They are capable of handling complex, multi-step tasks such as planning, adapting to changing conditions, and executing decisions without ongoing human intervention.
In a business context, AI agents enable automation beyond static rules: they monitor data streams, make context-aware decisions, and coordinate actions across systems or processes. This leads to greater operational efficiency, faster responses, and improved scalability, especially in dynamic, high-volume environments.
Use Cases
Explore how we apply AI to real business challenges and what it means for your operations, your customers, and your growth.
Website Builder Co-Pilot
Client: A UK-based no-code website builder platform
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We built a robust AI-driven engine to automate the website creation process. Our work focused on training models for a virtual assistant that collects key input from users such as design preferences and business goals and translating that into automatically generated website layouts. The solution uses smart algorithms and predefined components to assemble fully functional, tailored web structures without manual design work.
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Technologies: GPT-4, Elasticsearch, OpenCV, PyTorch, Node.js, GraphQL, FastAPI, Webflow API, Python,
Ad Spend Optimization Engine
Client: A US-based digital marketing intelligence platform
We built a machine learning system to optimize multi-channel advertising budgets by predicting the most effective timing and placement for ad campaigns. Leveraging historical performance data, the model forecasts engagement metrics—such as views, clicks, and conversions—and dynamically allocates spending to maximize return on investment (ROI). The solution enables marketers to make data-driven decisions, reduce wasted spend, and continuously refine campaign strategies through automated insights.
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Technologies: XGBoost, LightGBM, Pandas, Scikit-learn, Python, Apache Airflow, PostgreSQL, AWS S3, Tableau, FastAPI
Social Distancing Analytics System
Client: Public safety and urban analytics company
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We developed an AI-powered system designed to monitor and evaluate social distancing in public spaces. The solution uses advanced computer vision models to detect individuals in real time and measure interpersonal distances. A visual indicator, based on a traffic light metaphor, highlights safe behavior (green/yellow) and violations (red) without compromising privacy. The system helps city authorities and venue operators pinpoint spatial bottlenecks, optimize crowd management, and track behavior trends as public health policies evolve.
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Technologies: YOLOv7, OpenCV, Python, PyTorch, TensorRT, Flask, NVIDIA Jetson, PostgreSQL, WebSocket
Facial Attribute Recognition Engine
Client: A US-based biometric security platform
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We designed and deployed a deep learning-based system for real-time gender, age, and emotion detection from facial imagery. The solution leverages curated datasets such as IMDB-WIKI and UTKFace, enabling robust classification even in varied lighting and occlusion conditions. It also includes an advanced eye segmentation module, which supports additional use cases like iris and eye color recognition. The system enhances facial authentication workflows, enables adaptive content personalization, and strengthens customer profiling in digital environments.
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Technologies: TensorFlow, OpenCV, Keras, Python, ONNX, NVIDIA CUDA, Flask, FastAPI, Docker, PostgreSQL
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