Generative AI Development Services
Unlock New Business Potential with Generative AI Solutions
Generative AI can effectively solve non-trivial business problems, whether it is the automation of complex processes or the creation of brand-new digital products. WEZOM, an international generative AI development firm, will help you achieve those KPIs that ready-made solutions cannot.
Custom LLM Integration and Fine-Tuning
Train with our help the LLM model based on your unique data to adapt your custom solution to the specifics of your business and thus ensure its high accuracy, relevance, and control over the results.
Smart Assistants & AI Agents for Productivity
Deploy highly intelligent agents based on generative AI to maximize your teams' productivity, enable end-to-end automation of complex cross-department processes, and improve customer experience.
Reduced Time-to-Market for Digital Products
Use the power of generative AI to reduce time to market for new digital products by accelerating PoC/MVP development, as well as instantly generating marketing materials and even interfaces.
Human-AI Collaboration Workflows
Enable collaborative processes between employees and your customized generative AI solution to speed up decision making, perform creative tasks, and process large volumes of raw data.
We Help You Overcome the Barriers to Generative AI Adoption
Lack of relevant training data is one of the main barriers to the smooth adoption of generative AI solutions. In turn, our generative AI solution development company uses datasets based on your business processes and adds synthetic data if needed to ensure high-quality model performance.
Synchronizing custom generative AI software solutions with existing systems is often slowed down by technical difficulties. However, we know how to overcome this – our engineers will design an architecture that will seamlessly integrate into ERP, CRM, and other platforms that your company already uses.
Many companies are rightfully afraid of errors, bias, and non-compliance with generally accepted standards when implementing AI. We train and fine-tune our generative AI development solutions, taking into account ethics, industry-specific requirements, and the required level of transparency in decision logic.
Launching generative AI models requires large resources, both at the initial stages and during their support. To minimize your costs, we will offer you flexible approaches to their implementation and carefully optimize their architecture for your budget and infrastructure constraints.
Wezom is a reliable software development company for SMB that operates with integrity, transparency, and punctuality.
Thanks to 25+ years of experience in custom development, we have developed many unique practices that allow us to achieve top-quality digital solutions regardless of their complexity, urgency, and budget size.
We've Been Awarded Plenty for the Milestones We Have Achieved
Case Studies
Service Options
WEZOM provides generative AI development solutions that fully comply with industry requirements and global security standards, including those applied to the medical, legal, and financial sectors.
What clients say
I am very satisfied wit the work process and project management. Everything was clear, on time and I had nothing specific to add. Yes, we are satisfied with the result of the work and the product meets the goals set. I can't wait to continue our work on the app.
Incode-Group is thrilled to recommend WEZOM for their exceptional services. Their development of an employee management system for our company has been transformative, revolutionising our operations and optimising efficiency across the board. WEZOM's consistent delivery of outstanding work has made them an integral part of our team. Their expertise in software development and UX design has played a pivotal role in enhancing our project's functionality and user experience. We are truly grateful for WEZOM's contributions and highly endorse their services.
Our collaboration with WEZOM to develop the interactive learning platform for Corpsoft.io was exceptionally positive. From the outset, WEZOM demonstrated a deep understanding of our requirements and goals for the project. Their team was proactive in proposing innovative solutions and ensuring that the platform met our needs for engaging and effective online education. Throughout the development process, communication with WEZOM was clear and transparent. They provided regular updates on progress, promptly addressed any issues or concerns, and sought feedback to ensure alignment with our vision. The project was completed within the agreed timeline and budget, showcasing WEZOM's commitment to delivering results.
Types of Solutions We Offer
How Our GenAI Development Process Works
When you hire generative AI developers from WEZOM, you get a team with relevant experience in your niche and a clear understanding of which technology stack and development approach will bring you the maximum ROI. To achieve this, we always follow a proven methodology that helps quickly launch high-quality software development generative AI solutions.
How we work
Discovery & use case mapping
Dataset preparation & prompt engineering
Development & model integration
QA & A/B testing
Post-launch optimization & support
FAQ
Can we host generative AI models privately instead of using APIs?
Yes, we often practice this approach. In particular, this is relevant for companies that deal with confidential data or need end-to-end control over it. To do this, we deploy models locally, on your own servers, in a private cloud, or in an isolated infrastructure. This also allows you to avoid dependence on leading third-party generative AI service providers and will significantly reduce the costs of supporting your custom solution in the long term.
How do you ensure the accuracy and safety of AI-generated outputs?
We implement a comprehensive quality control strategy through the use of filters at the generation and post-processing stage (including validation by business logic), setting up retrieval-augmented generation (this is necessary to ensure that only verified sources of knowledge are used for the model training), collecting user feedback, integrating learning mechanisms from real cases, deploying a system of quality metrics (including accuracy, relevance, coherence, safety, etc.). We also conduct regular revisions of models to avoid “hallucinations” and inappropriate responses.
What kind of data do we need to get started with generative AI?
The training data set directly depends on the task assigned to your custom AI solution. For example, for basic solutions, text instructions, FAQ, documentation, and the structure of your business processes will be enough. In turn, for additional training, real dialogues, customer interaction histories, reports, letters, cases, product descriptions, and internal knowledge may be required as well. By the way, at WEZOM, we often work with unstructured data, ensuring its cleaning, normalization, and adaptation to AI requirements.
Can you integrate AI into our current web or mobile app?
Yes, integrating custom generative AI solutions into existing digital products is one of our core competencies. In particular, we connect chatbots, voice assistants, generative modules, or analytical blocks via RESTful API, WebSocket, SDK, or direct embedding into the frontend. Also, if you use legacy systems, we can offer you middleware development if other integration options are not possible.
How long does it take to launch a GenAI MVP?
As a rule, the development of generative AI in the MVP format requires 6-8 weeks. This includes task analysis, model selection, data preparation, generation logic setup, interface creation, and implementation of main integrations. In the case of additional training or complex domain specifics, the timeline can increase to 10-12 weeks. In any case, our goal is the same as yours – to test the hypothesis as quickly and cheaply as possible and get a working solution for interacting with users.
What industries do you support with generative AI solutions?
We have already launched more than a dozen solutions for eCommerce, logistics, fintech, EdTech, LegalTech, HR, HealthTech, and GovTech. In each case, we selected the optimal architecture, models, and generation formats based on the specifics of the industry and the client’s individual requirements and limitations.
How do you prevent hallucinations and bias in GenAI models?
Being one of the top generative AI development companies, we connect only verified knowledge bases via RAG and a fact base, use context filters and prompt engineering to limit the generation area, test models for ethical and legal cases, and integrate user feedback mechanisms for sentiment/toxicity assessment. In addition, we regularly update or retrain the model if the terms of its use change.
What is the cost structure for generative AI development services?
The cost of each individual project directly depends on the level of customization, the models used (what matters here is whether they are ready-made or need to be created from scratch), and the need for additional training. In particular, while the implementation budget of MVP/PoC can be from $15K, the cost of enterprise generative AI app development can reach $150K or even more. If you would like to know the budget for your project, please write to us or call us personally. Also, during our dialogue, we will help you choose the optimal generative AI development pricing model.
Can we build a ChatGPT-like assistant trained on our internal data?
Yes, and this is one of the most popular tasks among our clients. We create highly intelligent assistants trained on your internal corporate documentation, employee knowledge, and business correspondence. Such an assistant operates in full compliance with your company policies, helps with documentation, and automates customer support tasks, all of which are in the voice of your brand.