AI Development Services

We cover the full AI lifecycle: AI and machine learning development, AI software and app development, generative AI, LLM applications, and AI agents and agent orchestration. On the enablement side we offer AI consulting, AI integration, prompt engineering, AI-assisted software development, and AI code audits. If you are unsure where to start, we begin with a short discovery to map the right services to your goals.

Not always. Classic machine learning does benefit from good historical data, but many modern use cases run on large language models and retrieval, which work with your documents and content rather than a labelled training set. In discovery we assess what data you have, what is realistically usable, and which approach fits, so you are not blocked waiting for a perfect dataset.

Short version: generative AI creates content (text, images, code); LLM development builds and tunes the text engine behind it; AI agents use those models to take actions across your tools; and agent orchestration coordinates several agents for complex workflows. Each has a dedicated SolGuruz service - if you are unsure, a short discovery call maps your use case to the right one.

We ground models in your own data with retrieval, constrain outputs where it matters, and add guardrails and validation. Before launch we evaluate against clear criteria for accuracy, relevance, and safety, and after launch we monitor quality in production and retrain or adjust prompts as data and needs change. No system is perfect, so we design for graceful failure and human oversight where the stakes are high.

Yes, that is one of the most common requests. Through AI integration we connect models and APIs into your current apps, data, and workflows without disrupting what already works. We start by understanding your stack, then add AI features incrementally so you see value early and can scale what performs.

Security and privacy are designed in from day one. We work under NDA, apply role-based access and encryption, and choose model and hosting options that fit your data-sensitivity and compliance needs. SolGuruz is ISO 9001 and ISO 27001 certified, and we align each build to the standards your market requires.

It depends on the use case, data readiness, and integration scope, so there is no single fixed timeline or price. A focused pilot or integration ships much faster than a full custom platform. We usually start with a discovery phase to size the work, then deliver in phases so you can validate results and adjust before scaling.

The cost depends on factors such as experience, project complexity, and the technical expertise required. Hourly rates range from $40 to $250 based on expertise and experience, and dedicated, long-term engagement models are usually more cost-effective than one-off work.

We treat data quality and ethical AI as a priority. That means cleaning and validating data before it is used, monitoring for bias and errors, keeping results transparent and fair, and following best practices to reduce algorithmic bias throughout the build.

Custom AI development is worth it when an off-the-shelf tool or generic API cannot fit your data, your workflow, or your compliance requirements. If a packaged product already solves the problem well, we will say so. When it does not, we run a short feasibility check on your real data against a target metric before you commit to a full build, so you invest in custom AI only where it pays off.

Look past model demos and check whether a partner ships AI to production. Ask how they scope use cases, prove feasibility on your data, handle security and compliance, and monitor and retrain models after launch. SolGuruz covers the full lifecycle as one team, works under ISO 27001 and ISO 9001, and starts most engagements with a short discovery so you can validate the approach before scaling.