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Already got an idea? Let’s make it GenAI-powered
We design tailored GenAI systems across industries, combining custom AI models, predictive analytics, and intelligent customer engagement. Share your idea, and we’ll help shape it into a solution.
Generative AI implementation services
Model selection
We evaluate and select the right foundation model for your use case – GPT-4o, Claude, Gemini, Mistral, or domain-specific alternatives – based on your data, latency requirements, and cost per query. Fine-tuning and optimization follow only where context engineering alone doesn’t close the performance gap.
- Apply prompt engineering, context layering, and retrieval architecture before committing to fine-tuning
- Fine-tune LLMs using proprietary datasets where domain-specific performance requires it
- Apply PEFT, LoRA, and transfer learning to optimize models without full retraining
- Integrate multimodal capabilities for text, image, video, or structured data processing
Pick your starting point
Before you build
ROI discovery
Not sure your AI idea will pay off? We run a structured assessment that evaluates feasibility, estimates business impact, and delivers a go/no-go recommendation — before a line of code is written.
Consulting and R&D
Facing a complex AI challenge with no clear path forward? Our engineers evaluate technical feasibility, design the system architecture, and produce a pilot-ready plan tied to your business outcomes.
Engage
AI calling platform
Reach leads by phone at a scale a human team can’t. Austra Nova places and answers calls, qualifies in live conversation, and writes every outcome back to your systems.
AI voice agent
Access data your text-based systems can’t reach. Voiager conducts structured voice interviews, captures unstructured responses, and delivers reliable voice interaction at enterprise scale.
GenAI development services across key industries
Media and streaming
Make your video content strategy smarter with GenAI, including creation, distribution and monetization:
- Personalized content recommendations tailored to viewer behavior
- Automated metadata generation for faster content organization
- Rapid visual asset creation (e.g., thumbnails, banners) for A/B testing
- Streamlined localization with automated dubbing and subtitling
- Real-time voice cloning for scalable, cost-efficient voiceovers
GenAI development engagement model
Step 1
Scope and design
Define use case boundaries, select models, and design prompt and retrieval architecture.
Step 2
Build and validate
Develop the MVP and validate outputs against real data — not synthetic inputs.
Step 3
Pilot and iterate
Run a controlled pilot, measure against KPIs, refine based on production data.
Step 4
Deploy and optimize
Launch with monitoring and feedback loops tied to benchmarks set in step one.
Power of GenAI, fully in your control
Full ownership
Custom AI solutions built for your company, securing complete ownership of models, data, and operations, no reliance on third-party tools.
AI-powered efficiency
Automate workflows across content creation, customer support, and procurement with AI agents that boost productivity without disruption.
Cost optimization
Reduce operational expenses by automating repetitive tasks in marketing, sales, and service, freeing teams to focus on strategic priorities.
Agile iteration
Incrementally test, refine, and scale AI solutions with a proven, flexible, and agile approach, delivering tangible value faster.
Model improvement
Continuous updates and optimizations make sure AI stays accurate, workflows remain efficient, and outcomes adapt to changing needs.
Security and compliance
Solutions adhere to industry standards for data protection and regulatory compliance, safeguarding sensitive information.
AI models we work with
Mistral AI
Open-weight models deliver cost-effective, scalable solutions tailored to enterprise needs
Claude
Advanced long-context models support complex reasoning and safe, reliable AI interactions
ChatGPT
Conversational AI powers assistants, workflow automation, and high-quality content generation
LangChain
Orchestration framework used to design multi-step workflows, AI agents, and tool-integrated systems
Azure Machine Learning
Enterprise-grade environment for deploying and managing AI models with built-in governance and scalability
Amazon Bedrock
Managed access to foundation models via API accelerates development and minimizes overhead
Amazon SageMaker
End-to-end platform for building, fine-tuning, and deploying custom models at scale
GenAI solutions delivered to clients
AI calling agent for a real estate agency
AI calling agent for a real estate agency
- Sales reps spent too much time calling and qualifying leads manually
- Built Austra Nova to handle calls, qualify prospects, and schedule follow-ups
- Generated 3+ deals a month and reduced cost per lead
AI browser chatbot for knowledge workers
AI browser chatbot for knowledge workers
- Need for instant, up-to-date answers without leaving the page
- Designed an embedded AI browser extension using LLMs and live web data
- Delivered fast, accurate responses and simplified web workflows
AI ad creation tool for a marketing team
AI ad creation tool for a marketing team
- Need for a faster, data-driven ad creation and campaign management
- Built an AI tool to generate ads and optimize bids automatically
- Reduced manual work and boosted campaign performance
FAQ
Generative AI development services can be applied across many sectors, including healthcare, FinTech, retail, EdTech, media and entertainment, automotive, and more. Solutions are tailored to each industry’s workflows, compliance requirements, and business goals.
As a generative AI development services company, we build AI solutions that meet enterprise-grade security and compliance standards. Your data is stored and processed in line with regulations like GDPR and HIPAA, with flexible deployment across secure cloud platforms or private infrastructure.
Yes. With our enterprise generative AI development services, all AI models, data, and outputs remain fully owned and controlled by your organization. You have the freedom to scale, modify, or extend your models without depending on third-party tools.
Success metrics are defined during discovery, including efficiency gains, cost savings, revenue growth, or improved user engagement. ROI Discovery helps prioritize initiatives with the highest measurable impact before full deployment.
Yes. Through our GenAI application development services, we fine-tune foundation models using proprietary data and domain expertise to deliver accurate, relevant, and high-impact AI solutions tailored to your specialized workflows.
Timelines for generative AI implementation depend on project complexity, data readiness, and integration needs. Simple pilots can be implemented in a few weeks, while enterprise-scale solutions typically follow an agile, multi-phase process over several months.
As a generative AI development company, we provide ongoing model optimization, monitoring, security updates, and feature enhancements to keep your AI solutions effective and aligned with your organization’s priorities.
