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QuantumNest Technologies
QuantumNest

AI & Bots

Custom AI & Model Training

Models trained on your data to predict, classify, read and decide.

Starting price
from KES 150,000
Typical timeline
4–12 weeks, mostly driven by how clean and available your data is.

The problem

Off-the-shelf AI does not know your business

General models are good at general things. When you need predictions from your own data, or an assistant that writes in your house style, you need a model trained for the job.

  • Data sitting in spreadsheets and databases, unused
  • Manual review of documents, IDs or receipts
  • Guesswork in stock, demand or credit decisions
  • Prompting alone is not accurate or cheap enough

What we build

Everything included in custom ai

Language models

  • Fine-tuning open models (Llama, Qwen, Mistral) and hosted models
  • Custom chatbots that follow your tone, format and rules
  • Classification of messages, tickets and documents
  • Evaluation suites to prove the model beats the baseline

Predictive models

  • Sales and demand forecasting
  • Credit scoring and loan default prediction
  • Fraud and anomaly detection on transactions
  • Customer churn and lead scoring
  • Trading signal and price-direction models (research tools)

Vision and speech

  • OCR and data extraction from IDs, receipts and invoices
  • Image classification and object detection
  • Swahili and English speech-to-text and voice features

From data to production

  • Data cleaning, labelling and feature engineering
  • Training, tuning and honest evaluation
  • Deployment as a secure API, on cloud or your own server
  • Monitoring and retraining as your data changes

Deliverables

What you get

  • A trained model with an evaluation report
  • A deployed API or batch job
  • Training code and data pipeline you own
  • A simple dashboard or integration into your app
  • Retraining guide

FAQ

Custom AI & Model Training: common questions

Something else? Ask us directly and you'll get a straight answer.

How much data do I need?

It depends on the task. Fine-tuning a chatbot style can start with a few hundred good examples. Forecasting needs a reasonable history (often 1–2 years). We assess your data in a short discovery before quoting.

Who owns the model?

You do. You get the trained weights (or the fine-tuned model in your provider account), the training code and the data pipeline.

Is fine-tuning better than prompting with documents (RAG)?

Not always. For facts that change, RAG is usually better and cheaper. Fine-tuning shines for style, format and narrow tasks. We recommend the simplest approach that meets your accuracy target.

Can a model predict the markets?

No model guarantees profits. We build research and signal tools with honest backtests and out-of-sample testing. They support decisions; they are not financial advice.

Often combined with

  • from KES 6,000

    Payments & M-Pesa Integration

    Daraja STK Push, C2B, B2C and reconciliation, plus Paystack, Flutterwave, Pesapal, Stripe and PayPal.

    Learn more
  • from KES 15,000

    AI Chatbots & Assistants

    Support, sales and booking assistants trained on your documents. English, Swahili and a human handoff when needed.

    Learn more

Let's talk about your custom ai project

Tell us what you need. You'll get a reply within one working day, with honest advice and a clear next step.

Mon–Sat, 8:00–18:00 EAT · Nairobi, Kenya