Generative AI Development in Durban
e10 Infotech is a generative AI development company in Durban building text, image, document and code generation features with measured output quality.
Generative AI development judged on output you would actually publish
Generating text is trivial. Generating text a subject expert signs off without rewriting is the hard part, and it is the only version worth paying for. e10 Infotech Private Limited builds generation features with a review standard defined before the first prompt. A subject expert writes down what a publishable output contains and who signs it off. That rubric becomes an evaluation set, and every model, prompt and retrieval change is scored against it. Businesses in Durban come to us when generated output has to carry their name.
What we build
- Long form and structured writing tools grounded in your own material
- Product, catalogue and marketing copy generated at catalogue scale
- Document drafting for proposals, reports, contracts and case summaries
- Image, layout and creative variation pipelines with brand constraints
- Code, query and configuration generation inside developer workflows
- Summarisation, translation and rewriting across large document sets
- Synthetic data generation for testing where real data cannot be used
How the build runs
We start with twenty to fifty real examples of good and bad output, scored by the person who will own the result. That becomes the evaluation set, and nothing ships until scores clear the bar. Generation is grounded in retrieved source material wherever facts are involved, and structured output is constrained by a schema so downstream systems never receive prose where they expected fields. Brand voice, terminology and formatting are enforced through style references and validation rather than hopeful instructions. Human review sits in the flow at first, with the review queue itself producing the data that improves the next version. Cost and latency are budgeted per generation, with smaller models used wherever they clear the same bar.
Where this fits
Generation work sits inside our AI First Development practice. Factual grounding comes from RAG and Knowledge Systems, model access and specialisation from LLM Integration and Fine Tuning, and multi step production from AI Agent Development. Conversational delivery is handled by AI Chatbot Development, batch and scheduled production by AI Workflow Automation, and serving and cost control by MLOps and AI Infrastructure. Use case selection comes from AI Consulting and Strategy, engineering acceleration from Building with AI Coding Tools, and the surrounding product from Software Development and Web Development.
Quality, brand voice and factual accuracy
Anything factual is grounded in retrieved sources and cited, with citations checked against the retrieved text rather than trusted. Claims that cannot be supported are refused rather than smoothed over. Brand voice is captured as concrete rules and reference examples, then validated automatically for banned terms, reading level, structure and length. For regulated content we add a compliance check before the output reaches a human reviewer, so obvious problems never reach the queue.
Rights, provenance and disclosure
We use models and training arrangements that respect your position on content rights, keep your inputs out of third party training by contract, and record which model and prompt version produced each output. Where disclosure of machine generation is expected or required, it is built into the workflow rather than left to the person publishing.
What you get at handover
Source code in your repository, the evaluation set with scores per release, prompt and model version history, the style and validation rules as code, the review interface and its queue, tracing with a cost per generation breakdown, a runbook for model deprecations, and a thirty day warranty on behaviour that does not match the specification.
Working with businesses in Durban
Work for clients in Durban runs remote first: a named engineering team, a scope agreed in writing before anything starts, and demos on a fixed cadence you can hold us to. Working hours overlap your business day and everything is delivered in English.
Disclosure expectations and content rules differ by jurisdiction and sector, so we confirm what applies to businesses in Durban before generated material is published at scale. That answer shapes the review design rather than following it.
You get one point of contact, senior engineers on delivery, and reporting tied to evaluation scores and accepted output rather than activity. Businesses in Durban and the wider region are supported on the same terms.
Ready to generate output worth publishing?
Send us examples of what good looks like and we will send an approach, an evaluation plan and a quote.
Serving Durban and the wider region.
Queries raised before signature
Everything worth knowing about Generative AI Development in Durban.
01What counts as generative AI development?
Building a product feature where a model produces text, images, code or structured documents as part of a workflow, with grounding, validation and review around it.
02How do you stop the model inventing facts?
Ground every factual claim in retrieved source material, require citations that are verified against that material, constrain output to a schema, and refuse rather than guess when support is missing.
03Can it write in our brand voice?
Yes. Voice is captured as explicit rules plus reference examples, then checked automatically for terminology, structure, reading level and banned phrasing before a human sees the draft.
04How do you measure output quality?
With an evaluation set built from real examples scored by the person who owns the result, tracked per release alongside acceptance rate, edit distance after review, latency and cost.
05How long does a generative AI project take?
A grounded drafting feature usually reaches production in eight to twelve weeks. Catalogue scale generation with review workflows and compliance checks takes longer.
06Which models do you use?
Whichever scores best on your evaluation set, across hosted and open weight families. We route per task, so an expensive model is used only where a cheaper one fails.
07Will our content be used to train someone else's model?
No. We use zero retention or enterprise endpoints, or self hosted models, and contract for it. Your material stays yours.
08Can it generate images and design assets?
Yes, with brand constraints applied through reference imagery, layout templates and automated checks on colour, logo use and composition before assets reach a designer.
09Does generated content hurt search rankings?
Thin, unedited output does. Grounded, reviewed material that answers a real question performs like any other good content. We build the review step precisely because of this.
10How much does it cost to run?
Cost is per generation and depends on model, context length and retries. We set a target during design and hold it with caching, smaller models, routing and shorter context.
11Can it produce structured output for our systems?
Yes. Output is constrained to a JSON schema and validated before it moves downstream, so a malformed response is retried rather than written into your database.
12Do we still need editors?
Initially yes, and the review queue is where the improvement data comes from. Review effort falls as scores rise, and it is reduced deliberately rather than removed on a hunch.
13Do you offer Generative AI Development in Durban?
Yes. e10 Infotech delivers Generative AI Development for businesses in Durban and the wider region, remote first with a named team and a scope agreed before work starts.
14How do you run Generative AI Development projects for clients in Durban?
Working hours overlap the Durban business day, communication is in English, and you get one point of contact with reporting tied to evaluation scores and accepted output rather than activity.
Talk to an engineer about Generative AI Development in Durban.
Four lines is enough to start. You will hear back from someone who does the work, usually the same day, and nothing is sent to a sales desk.
Prefer to set it all out at once? The full brief form asks the longer questions. Or write to [email protected].