Markeltree offers generative AI development services to take you from experimentation to production. We don't build 'demo' versions of AI solutions that never actually get deployed. We don't give you a slide show and a model name. Our AI engineers, data experts and product designers sit within your team and offer a product that is built on your data, that works for your business processes, and one that is easily released in your business.
Depending on the selected model and use case, text, images, code, and other content types. Application will depend on the business need and is specific during scoping.
Most projects employ and adapt existing foundation models, not train them from scratch, which would be much more costly. Full custom training is only available for very specialised requirements.
Prompt engineering, guardrails and testing prior to deployment to identify potential issues at an early stage. This is particularly crucial for customer-facing generative features.
Yes, this is usually a feature that is integrated into an existing platform via an API. It cannot force a rebuilding of the product base.
This is a truly confusing legal issue and something that should be discussed with the legal team, rather than the development team. Different jurisdictions and situations may have different copyright treatments.
Deploying enterprise-grade generative AI at scale typically requires an infrastructure and API budget starting at $1,000 to $10,000+ per month, moving in proportion to your active user volume and token throughput. We integrate strict cost-modeling, semantic caching, and model routing from day one.
| Capability | What It Does |
|---|---|
Developing Custom Generative AI Solutions | We don't start from a ready-to-use Chatbot template and customize it for your business processes, data and goals; we build a solution from scratch that is custom to your business. It may be a legal team document assistant, a marketing content engine, a customer support agent or it may be an operational forecasting tool. You have the code, and the prompts and pipelines: You're not locked into a single vendor or a single model. |
Generative AI Integration Services | The real power in AI is its ability to integrate with existing systems your workforce uses. Our generative AI for integration services enable you to integrate language, vision and speech models into your CRM, ERP, help desk, intranet, analytics and customer facing applications via secure well-documented APIs. No new tool to learn, your teams get AI into their everyday workflow. |
LLM Application Development | We create applications that run on top of top-tier Large Language Models such as GPT, Claude, Gemini, Llama and Mistral. For every assignment we select the best model according to the specifications of quality, speed, pricing and privacy, and we design the application in such a way that you can change models according to the changing market. |
Retrieval-Augmented Generation (RAG) and Knowledge Assistants | There's a wide variety of generic models that don't know your business. Retrieval-Augmented Generation, or RA-Gen® for short, pairs them up with your documents, databases and knowledge bases, ensuring your answers are based on your trusted content. Responses are easier to check, and more helpful for your team, as they will be able to reference the sources. |
Finalization and Modifications to the model | Fine-tuning, distillation and evaluation-driven optimization of models for your domain, tone and tasks, when prompting and retrieval fails. In cases of large volume usage, the output is consistent, and errors are fewer and can be reproduced cheaper. |
Marketplace & Dropshipping | AI agents are created that can plan, call tools, query systems and perform multi-step tasks, including claim processing, lead qualification, record reconciliation, etc. To ensure you have control over automation, you can use guardrails and audit trail. |
Multimodal AI: Text, Image, Audio and Video | More than just solutions: understanding, generation – document extraction, invoice extraction, image generation, image analysis, speech-to-text, voice assistants and video summarization. These features enable use cases to be automated which previously were not feasible. |
Responsible AI, Security & Governance | Building trust is the key to sustaining AI adoption. Data privacy controls, access management, prompt-injection defenses, output filtering, bias testing, and human oversight, along with full audit logging, are built in. Additionally, we create documents that the documentation reviewers need to evaluate your AI against requirements like GDPR, HIPAA, SOC 2 and new AI laws. |
We identify and help you with your leadership and teams where generative AI will create real value and where it won't. A prioritized list of use cases is provided as well as an estimate of the cost and expected return, a data-readiness assessment and a practical roadmap; so investment is for what matters first.
We test the concept, come up with a working prototype using your real data very rapidly. After several weeks, you actually get outputs, you get accurate measurements, and you also get realistic prices and can make the decision based on facts rather than assumptions.
We handle all the aspects of an AI-powered product and feature from the model building, backend, to the user interface. It is applicable to AI copilots, writing and summarization capabilities, search experiences, personalisation engines and customer facing assistants.
We create chatbots for customer service, sales, HR, and IT that "get the context" and that utilize your knowledge base and funnel to humans when appropriate. They operate on web, mobile and messaging apps and voice channels.
Automation of classification, extraction and summarisation of reports, contract reading, drafting and review, and product content using email, reports, contracts, and forms. Teams spend less time on repetitive tasks of documents and more time on decisions.
Once it has launched, we observe performance, adjust prompts and retrieval, manage model updates, control token costs and deal with incidents. You can determine the amount that will remain in-house and the amount we handle, and can adjust the proportions as your staff grows.
Built on your data and processes, the impact becomes evident in the numbers that matter:
We capture your business objectives, processes, problems and data. As a group, we prioritize use cases by their value and feasibility and establish the success metrics – like time saved, accuracy reduced, or cost saved – that all the succeeding decisions will be measured against.
We analyse your sources, quality, access patterns and restrictions, and verify your use case's accuracy needs. Knows about risks and gaps before substantial funds are invested.
Architecture design and selecting the right approach: prompting, retrieval, fine tuning or agents. Model and platform selection as well as the trade-offs are based on quality, cost, latency and privacy and are discussed in a non-technical manner.
We create a working prototype using your actual data and test it using the real users. The evidence to determine whether learning is successful is based on the success criteria set at the beginning.
We work through the production solution in short sprints, with frequent demonstration and implementation onto your systems, iteration and improvement through feedback. Problems occur early and product continues to get better over time.
Automated evaluation suites and manual testing, along with a wide range of QA, are used before launch to evaluate accuracy, hallucination rates, bias, prompt-injection resistance, data leakage and failure cases. The system is tested and ready even before it is used by the users.
We start implementation in a step by step process, we monitor and have fall back plans. We train your team, document the system and help your team embrace it since AI only works when your users use it.
Once a product is launched, we monitor in-use performance, usage and cost; then look for ways to improve its performance, including more effective retrieval, low-cost alternatives, new use cases or expansion. Your AI becomes more powerful and cheaper to operate, every month.
AI-powered content generation and productivity platform combining writing assistants, image generation, document intelligence, RAG knowledge retrieval, and workflow automation for business growth.
Tell us what you're building. We'll give you an honest assessment and a clear path forward — no sales pitch, no commitment.
Markeltree helped us integrate Generative AI into our business, enabling us to automate content creation, streamline workflows, and improve productivity across multiple departments.
