AI data preparation and training
We provide dedicated support in navigating the processes of data preparation and training for AI models. Employing modern techniques and tools, we help enhance datasets, simplifying the entire process and making the training of powerful and effective AI models more accessible.
AI transformation
Through generative AI consultancy service, we assist organizations in defining their AI strategy, aligning it with business objectives, and navigating the complexities of integrating AI into existing workflows.
AI solution development
Our team of generative AI consultants works closely with clients to understand their unique requirements and helps develop customized AI solutions that align with organizational goals.
Model selection and implementation
Choosing the right model is critical for the success of any AI initiative. Our consultants bring expertise in model selection, evaluating various architectures, and recommending the most suitable approach for specific use cases.
GPT-4
The fourth iteration of the Generative Pre-trained Transformer, developed by OpenAI, is known for its advanced natural language processing capabilities and diverse applications in text generation.
LLAMA
A language model designed for understanding and generating text, with a focus on linguistic nuances and context-aware responses, maks it suitable for various natural language processing tasks.
PaLM 2
PaLM 2 is a sophisticated AI model with expertise in recognizing and learning complex patterns, enabling it to excel in tasks related to image recognition, data analysis, and more.
Claude
An AI model known for its expertise in computer vision and image processing, providing innovative solutions for tasks such as object recognition, segmentation, and scene understanding.
DALLE
DALL-E is an image generation model capable of creating diverse and creative visual outputs based on textual descriptions, setting it apart in the field of generative art.
Phi-2
A versatile AI model with applications in both natural language processing and image generation, leveraging advanced algorithms for seamless integration of text and visual data.
Whisper
An AI model specializing in speech recognition and synthesis, enabling accurate transcription and generation of human-like speech patterns for a variety of applications.
Stable Diffusion
A model designed for simulating and predicting dynamic systems, particularly useful in scenarios where the stability and behavior of evolving processes need to be accurately modeled.
Llama 2
The second iteration of the LLAMA language model, further enhancing its capabilities in understanding and generating text with improved contextual awareness and linguistic accuracy.
Vicuna
An AI model specializing in virtual assistant capabilities, providing intelligent responses and assistance in natural language interactions for users across different domains.
Mistral-7B-v0.1
An AI model with a focus on large-scale natural language understanding, capable of processing and comprehending vast amounts of textual data for various applications.
Bloom 560-m
A sophisticated AI model with expertise in molecular biology and drug discovery, facilitating the analysis and prediction of biological interactions and structures at the molecular level.
1 step – Discovery
Our cooperation process begins with the discovery phase. Here, we discuss your goals and objectives to determine how generative AI can provide value. We explore your data sources, content types, and desired outcomes. This helps us assess which generative AI models and technologies would be the best fit for your needs.
2 step – Prototyping
Once we determine a promising approach, we build prototypes to demonstrate how generative AI can achieve your goals. These prototypes allow you to see examples of AI-generated content and provide feedback. We then refine the models and data to optimize the results.
3 step – Deployment
When you’re satisfied with the prototype, we deploy the solution. This involves setting up the infrastructure to generate content at scale on an ongoing basis. We also provide training to ensure your team is comfortable managing and optimizing the AI models in the future.
4 step – Continuous improvement
Our work doesn’t end at deployment. We monitor the performance of the generative AI solution and look for opportunities to enhance the results over time. As your data, content needs, and business objectives evolve, we retrain and optimize the models to keep improving outcomes.
Fintech
Generative AI is transforming how financial institutions operate.
We can help fintech companies implement AI for:
- automated customer service (chatbots)
- fraud detection
- predictive analytics
Edtech
The education industry is ripe for generative AI applications. We work with edtech companies to build AI systems for:
- adaptive learning
- automated essay scoring
- intelligent tutoring
Retail
For retailers, generative AI unleashes new potential for improving the customer experience.
We help retailers implement AI for:
- product recommendations
- personalized marketing
- AI-powered chatbots
Real estate
The real estate industry benefits greatly from generative AI. We help real estate companies leverage AI for:
- property appraisals and valuations
- predictive analytics
- automated document processing
Our portfolio
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.
Case details
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.
Case details
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.
Case details
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.
Case details
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.
Case details
AI-driven-communication-assistant
Our client is a technology company specializing in providing services for industries with highly regulated communications. Their AI-based expertise allows to make those processes more simple. Geniusee was entrusted with migrating client’s infrastructure from Azure to Amazon, aiming to consolidate their crucial infrastructure in one place. The project involved migrating their database and leveraging Amazon services to optimize the system's scalability, security, and performance.
Case details
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.
Custom solutions
Our consultants will work closely with you to understand your unique goals, data, and infrastructure. They will then design a custom generative solution tailored to your needs.
Responsible AI
We are committed to building generative AI solutions that are fair, transparent, and aligned with human values. Our consultants provide guidance on how to build safeguards into your generative models and audit them for potential harm before deployment.
What exactly is generative AI?
Generative AI refers to artificial intelligence models that can generate new content, like text, images, or code. These models analyze lots of examples to learn patterns and then create new examples that resemble those patterns.
What are some examples of generative AI?
Some well-known examples of generative AI include:
- Deepfakes, which can generate synthetic media like images, video, or audio.er content goes here.
- GPT-3, which can generate human-like text.
- DALL-E, which can generate realistic images from text descriptions.
How can generative AI be used?
Generative AI technology has many potential use cases:
- However, generative AI also brings risks around the malicious use of synthetic media and the automation of certain jobs.
- Regulation and oversight are important to balance the benefits of this promising new technology.
- Automating creative tasks like writing stories, composing music, or designing products.
- Building virtual characters and digital assistants that can hold conversations.
- Manipulating or generating synthetic media for entertainment purposes.
- Augmenting human creativity by suggesting new ideas.
How can Generative AI consulting help my company stay competitive and innovative in the market?
Generative AI consulting services can make your company more competitive by helping create new products, automate tasks like content creation, and improve processes. It also enables personalized customer experiences, data-driven decision-making, and adaptability to changes in the market.
Can Generative AI consulting help my company streamline processes, enhance productivity, or improve customer experiences?
Absolutely, Generative AI Consulting can contribute significantly to streamlining processes, enhancing productivity, and improving customer experiences in your company. By automating tasks, providing data-driven insights, and enabling personalized interactions, generative AI can optimize operations, freeing up resources and delivering a more tailored and efficient experience for both your team and customers.
What’s the future of generative AI?
Generative AI is a fast-moving field. In the coming years, we can expect:
- Ongoing discussion around ethics and responsible development of this powerful technology.
- Continued progress in generating realistic and coherent text, images, video, speech, and more.
- Integration of multiple data modalities, e.g., generating images from text and speech simultaneously.
- Improvement in controllability, allowing people to guide the creative process.
- Democratization of generative models through open-source tools and code libraries.
- Deploying generative AI in various industries to increase productivity and creativity.
