Frequently Asked Questions

Implementation timelines vary by project scope and complexity. Typical projects range from 3-6 months from discovery to production deployment. This includes: Discovery & planning (2-4 weeks), data preparation & model development (6-12 weeks), integration & testing (4-6 weeks), deployment & monitoring (2-4 weeks). We also offer rapid prototyping engagements (4-6 weeks) for proof-of-concept projects.

We support all major ML frameworks and cloud platforms: ML Frameworks (PyTorch, TensorFlow, JAX, Keras), Cloud Platforms (AWS, Azure, GCP, on-premise), Languages (Python, R, Julia, C++), Deployment (Docker, Kubernetes, serverless, edge devices). Our solutions integrate seamlessly with your existing infrastructure.

Yes, our AI solutions are designed for seamless integration. We support: REST APIs and GraphQL, message queues (Kafka, RabbitMQ), databases (SQL, NoSQL, vector DBs), data warehouses (Snowflake, BigQuery, Redshift), CI/CD pipelines (GitHub Actions, Jenkins, GitLab), and monitoring tools (Prometheus, Grafana, DataDog). We work within your architectural constraints.

Yes, all our AI models and services are available via RESTful APIs with comprehensive documentation. We provide: OpenAPI/Swagger specifications, client SDKs (Python, JavaScript, Java, Go), authentication (API keys, OAuth 2.0, JWT), rate limiting and usage monitoring, versioning and backward compatibility, and webhook support for async operations.

Data requirements vary by use case. We can work with: Minimal data (transfer learning, few-shot learning), moderate datasets (10K-1M samples), large-scale data (millions+ samples), unstructured data (text, images, audio, video), and streaming/real-time data. We provide data assessment, augmentation strategies, and synthetic data generation if needed.

We maintain enterprise-grade security: SOC 2 Type II certified, encryption at rest (AES-256) and in transit (TLS 1.3), private cloud and on-premise deployment options, zero data retention policies for API requests, network isolation and VPC peering, regular penetration testing and security audits, RBAC and SSO integration, and comprehensive audit logging. Your data security is our top priority.

Yes, we support compliance with major regulations: GDPR (EU data protection), HIPAA (healthcare data), PCI-DSS (payment data), SOC 2 (security and availability), ISO 27001 (information security), CCPA (California privacy), and FERPA (education records). We provide compliance documentation, data processing agreements (DPAs), and architecture guidance for your compliance needs.

Yes, we support multiple deployment options: Cloud-hosted (AWS, Azure, GCP), on-premise (your data center), hybrid (mix of cloud and on-premise), edge deployment (IoT devices, mobile), and air-gapped environments (fully isolated). You maintain full control over data location and model execution. We provide deployment guides and support for all environments.

You retain full ownership: Custom models trained on your data are 100% yours, your training data never leaves your control (unless you opt for cloud training), pre-built models are licensed to you, and you can export models in standard formats (ONNX, TorchScript, SavedModel). We provide clear IP ownership agreements and don't use your data to train other models without explicit permission.

We serve diverse industries: Financial Services (fraud detection, credit scoring, trading algorithms), Healthcare (medical imaging, drug discovery, clinical decision support), E-commerce (recommendation engines, demand forecasting, personalization), Manufacturing (predictive maintenance, quality control, supply chain optimization), Research (scientific computing, simulation, data analysis), and more. Our AI expertise applies across sectors.

Popular AI use cases include: Computer Vision (object detection, facial recognition, medical imaging, quality inspection), NLP (chatbots, document analysis, sentiment analysis, translation), Predictive Analytics (forecasting, anomaly detection, maintenance prediction), Recommendation Systems (personalization, content discovery), Generative AI (content creation, synthetic data, design automation), and Process Automation (document processing, workflow optimization).

Yes, we actively work with startups and offer: Flexible pricing and payment terms, startup packages with discounted rates, equity/revenue share options for innovative projects, rapid prototyping to validate ideas quickly, fractional AI team access, investor-ready demos and metrics, and fundraising support and technical due diligence. We partner with you as you scale.

Absolutely. Our enterprise solutions support: Millions of predictions per day, distributed training across GPU clusters, multi-region deployment for low latency, auto-scaling based on load, 99.99% uptime SLAs, multi-tenancy and white-labeling, enterprise SSO and access controls, and dedicated support and SLAs. We power AI at scale for Fortune 500 companies.