Discovery & Strategy
Define business objectives, success metrics, technical constraints, and a phased project roadmap including feasibility and ROI assessment.
Practical, secure, and scalable AI capabilities tailored to your business.
Design and deploy chatbots, virtual assistants, and text analytics to automate support, surface insights, and improve customer experience.
Build image and video understanding systems for detection, classification, OCR, and visual search to unlock visual data value.
Create forecasting, classification, and anomaly-detection models to drive data-informed decisions and reduce risk.
Personalize product/content recommendations with collaborative and content-based approaches to increase engagement and conversions.
Implement CI/CD for models, monitoring, model versioning, and scalable deployment to keep AI reliable and maintainable in production.
Automate repetitive workflows and integrate intelligent automation to reduce costs and accelerate operations.
We partner with you to understand goals, prepare data, build and validate models, and deploy reliable, maintainable AI into production with ongoing monitoring and improvements.
Define business objectives, success metrics, technical constraints, and a phased project roadmap including feasibility and ROI assessment.
Collect, clean, label, and transform data; build scalable data pipelines and storage that ensure quality and reproducibility.
Iterate on model options, architectures, and features; produce proof-of-concept prototypes to validate technical approach and value.
Evaluate models using business and technical metrics, perform robustness and fairness checks, and validate on holdout and real-world data.
Package models as APIs or services, integrate with existing systems, implement CI/CD and MLOps practices for scalable, reliable deployments.
Monitor performance, data drift, and costs in production; iterate with retraining, updates, and ongoing support to sustain value.
Answers to common questions about our AI services, integration, security, and pricing.
We build custom solutions including natural language processing, computer vision, recommendation systems, and automation pipelines tailored to business needs.
Reach out for an initial consultation. We run a discovery phase to define goals, data requirements, and a project plan with milestones and deliverables.
We use industry-standard encryption, strict access controls, and contractual agreements (e.g., NDA, data processing addendum). We don’t use customer data to train public models without consent.
Yes. We provide APIs, webhooks, and SDKs, and can build connectors to CRMs, databases, or cloud services to fit your architecture.
Timelines vary by scope: a proof-of-concept can take 3–6 weeks, an MVP 6–12 weeks, and full production deliveries depend on complexity and integration needs.
We offer flexible models: fixed-price for scoped projects, time-and-materials, or usage-based pricing for managed AI services. We provide a custom estimate after discovery.
Designed and delivered by product engineers
For more than a decade we've helped startups and enterprises ship resilient, scalable software that drives measurable business outcomes. We combine pragmatic engineering with product-focused thinking to reduce risk, cut time-to-market, and unlock growth.

Research-driven platform that helped a fintech startup validate market fit and accelerate MVP delivery.
Learn more
Headless commerce API built for high throughput, reducing latency and improving checkout conversion.
Learn more
Robust ETL pipeline that unified analytics and slashed reporting time from hours to minutes.
Learn more