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AI expertise you can put to work
Alexey Karankevich
AI Innovation Lead
An MITx MicroMasters graduate in Data Science, Alexey leads R&D with hands-on AI expertise. He has driven key innovations, including a social media analytics startup and a $10M health AI project heading to EU clinical trials.
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Yariv Z. Levy
AI Strategy Advisor
With a PhD in AI from UMass Amherst and a Master’s in Computer Science from EPFL, Yariv bridges AI and business impact. He has collaborated with global leaders like Nestlé and Roche and founded his own AI consultancy boutique.
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Take your AI challenge directly to those who build these systems.
Our AI software development services
Visual insights
Extract value from visual data and large-scale media workflows. We combine video processing, analytics, and AI to make content searchable, measurable, and actionable.
- Real-time video analytics, object tracking, and detection
- Automated tagging, indexing, and metadata extraction
- Content quality control and anomaly detection
- Scalable pipelines integrated with media platforms and MAM systems
How we build AI systems
Step 1
ROI discovery and scoping
We start with the business case, not the technology. Every engagement begins with a measurable hypothesis.
Step 2
Data and context engineering
We audit your data and validate quality, volume, and accessibility against the target use case. Bad data caught early costs nothing.
Step 3
Architecture and specification
We design the system — model selection, orchestration patterns, agent roles, and integration points.
Step 4
Build, verify, iterate
Development runs in tight build-verify cycles. Multi-layer verification harnesses catch what manual review misses.
Step 5
Deploy, measure, prove
We deploy with built-in monitoring. It’s not done until results match the original hypothesis.
In search for a strategic AI development partner?
Collaborate with Oxagile, a custom AI development company,
to implement AI that scales and integrates seamlessly
Pick your starting point
Explore
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
Have 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
Put a caller on every lead without adding headcount. Austra Nova places outbound calls, answers inbound ones, and qualifies in natural conversation, then moves each deal through your funnel.
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.
Know your ROI before you build
Run your project through our ROI Calculator and get a clear, grounded picture of where the real returns are.
AI built for enterprise performance
AI systems are designed with governance, privacy, and ethical standards built in from start.
Models are deployed in on-prem or hybrid environments integrated with existing enterprise infrastructure.
Performance is optimized for reliability, latency, and cost efficiency in production environments.
Business, legal, and technical teams are aligned to ensure solutions are viable and compliant.
Explore our structured, AI-native methodology that turns experimental tools into predictable, high-impact solutions.
Domain expertise
Video streaming
Our artificial intelligence development services are aimed to optimize video workflows, improve content discovery, and enable advanced visual analysis across media platforms. In large-scale video streaming and OTT environments, this translates into measurable gains such as up to 98% faster content processing, real-time metadata extraction, and significant improvements in recommendation accuracy, personalization, and viewer engagement across millions of users.
- Real-time video analytics and object recognition
- Automated content tagging and metadata extraction
- Video quality control and workflow automation
- Personalized content recommendations and highlights generation
Our AI development stack
LLM platforms
OpenAI GPT, GPT-5 • Anthropic Claude family • Google Gemini family • AWS Titan models • IBM Granite models
Open foundation
Meta Llama 3.x family • Mistral & Mixtral series • Qwen family • DeepSeek V-series & R-series • Microsoft Phi-3 family • Stability AI series
Specialized models
Long-context transformers (xLAMs) • Multimodal LLMs • Code-optimized models (e.g., Code Llama, StarCoder 2)
Deep learning
PyTorch • TensorFlow & Keras • scikit-learn • JAX • Hugging Face Transformers & Diffusers • PyTorch Lightning • JAX Flax • OpenAI & Anthropic toolchains • ONNX
RAG & search
LangChain • LlamaIndex • Nvidia NeMo • Vector Database • Sentence Transformers • Cohere Embed • Chunking, ranking, and hybrid search orchestration
Agent frameworks
Multi-agent orchestration • Tool-using & function-calling agents • Planning & reasoning support • Memory-augmented workflows • AutoGPT-style autonomous agents
ML competencies
Supervised, unsupervised, self-supervised • Contrastive • Clustering & metric learning • RL/RLHF • Few & zero-shot tuning • RAG & tool use • Multimodal & cross-modal
FAQ
Development timelines depend on project scope, complexity, and integration requirements. Typical AI solutions range from 8–20 weeks for MVPs to 6+ months for enterprise-scale systems with full deployment and optimization.
Costs for our AI application development services vary based on data complexity, AI model selection, infrastructure requirements, integration with existing systems, and ongoing maintenance. We provide transparent estimates after an initial discovery and scoping phase.
As a full-cycle artificial intelligence software development company, we deliver both. Depending on business needs, we create fully autonomous AI agents or hybrid solutions where humans provide oversight, feedback, and decision-making support.
Privacy and compliance are embedded into our AI lifecycle. We adhere to regional regulations, enterprise security standards, and best practices for data handling, providing ethical, safe, and legally compliant AI solutions.
Absolutely. We work with pre-existing software and AI components, upgrading functionality, integrating machine learning modules, or implementing AI layers without disrupting current operations.
Our team combines deep AI research, data science, and engineering experience across multiple domains, including video, EdTech, AdTech, finance, healthcare, and public safety, delivering scalable, high-quality custom AI solutions.
