AI products engineered from prototype to production
Building an AI-based product is different from bolting an AI feature onto an existing app. It means designing the data pipeline, model architecture, and user experience together from day one. Algosoft's India-based engineering teams specialize in AI-native product development — covering everything from foundation model integration to fully custom-trained models for domain-specific use cases.
We take products through the full lifecycle: proof-of-concept validation, model training and evaluation, production deployment, and ongoing monitoring to catch model drift before it affects your users.
This service pairs with our AI development company in India for businesses needing broader AI engineering support beyond a single product build.
Data pipeline, model, and UX designed together from the first sprint.
Domain-specific models trained on your data when generic APIs fall short.
Continuous monitoring to catch model drift before it hits your users.
Transparent pricing for AI-based product builds
| Tier | Cost (USD) | Timeline | Best For |
|---|---|---|---|
| Basic | $12K – $30K | 6 – 10 weeks | AI MVP using foundation model APIs |
| Standard | $55K – $85K | 14 – 20 weeks | Full AI product with custom fine-tuning |
| Advanced | $120K – $170K | 24 – 34 weeks | Custom-trained models with production MLOps |
| Enterprise | $220K+ | 10+ months | Full-scale AI platform with multiple models and integrations |
Capabilities that define great AI product development
Defining the right model approach and data strategy before writing code.
Fine-tuned and custom-trained models for domain-specific accuracy.
Fast, reliable integration with leading foundation model APIs.
Automated pipelines for training, evaluation, and production deployment.
Continuous monitoring to maintain accuracy as real-world data shifts.
Infrastructure engineered to handle inference load as usage grows.
Where your AI product budget goes
Defining the data pipeline and model approach.
Training, fine-tuning, and evaluating the core model.
Building the application layer around the model.
Accuracy testing, bias checks, and performance validation.
Production rollout and monitoring pipeline setup.
Technical documentation and team handover.
Six reasons businesses choose us
We design the model and product together, not as an afterthought.
We choose the right approach for your use case and budget.
From proof-of-concept to production deployment and monitoring.
Monitoring and drift detection included, not bolted on later.
Regular sprint reviews and milestone demos throughout the build.
AI product delivery experience across diverse industries.
Technologies powering our AI products
A phased roadmap from prototype to production
Defining the data pipeline and model approach.
Training, fine-tuning, and evaluating the core model.
Building the application layer around the model.
Accuracy testing, bias checks, and performance validation.
Production rollout and monitoring pipeline setup.
Explore our related AI and India-based development guides
Custom AI tools built for specific business workflows.
Read GuideSet up a dedicated offshore engineering center in India.
Read GuideCommon questions about AI-based product development
Costs range from $12,000 for an AI MVP to $220,000+ for a full-scale enterprise AI platform.
Both, depending on your use case — foundation model APIs for speed, custom-trained models for proprietary needs.
Yes, we handle the full lifecycle from proof-of-concept through production deployment and monitoring.
Yes, MLOps and drift monitoring are included to maintain accuracy as real-world data shifts.
An AI MVP takes 6–10 weeks. A full enterprise AI platform takes 10+ months.
Get a detailed cost estimate for AI product development from Algosoft’s engineering team.
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