AI / ML Development.
We wire AI into products that have to keep working on Monday — LLM assistants and RAG, generative features, document extraction, computer vision, recommendations and predictive models — not demos, production systems with the data plumbing underneath.
Capabilities under this practice
- LLM & RAG assistants (chatbots, copilots, search)
- Generative AI & content synthesis
- Document & data extraction (OCR, parsing)
- Predictive analytics & forecasting
- Computer vision & image processing
- Recommendation & personalization engines
Where we shine
What you actually get
The repetitive work handled by AI, so your team spends its time on judgment
Answers drawn from your own data — with the sources to back them
AI that keeps working in production, monitored and maintained, not a one-off demo
Related work
Questions, answered
Everything you need to know before we talk. Still curious? Reach out — we respond within a business day.
Custom is built from scratch to your exact spec. White-label is our product rebranded and configured for you. Ready products are our off-the-shelf SaaS you can start using immediately.
White-label deployments ship in 4–8 weeks. Custom MVPs typically run 8–16 weeks depending on scope. Ready products go live the same day.
Yes — custom engagements include full IP transfer. White-label deployments retain our base with your branding, data and extensions.
Absolutely. We integrate with ERPs, CRMs, payment gateways, identity providers and any REST/GraphQL APIs or webhooks you use.
We offer SLA-backed support tiers — from standard business-hours to 24/7 incident response — plus ongoing product engineering retainers.
Our engineering center is in Surat, India, and we deliver for clients across the US, EU, Middle East and APAC — with daily time-zone overlap for follow-the-sun delivery.
Every change goes through pull-request review and an automated pipeline that runs the test suite, linting and a build before anything merges. We write unit and integration tests for business-critical paths, add end-to-end tests for key user flows, and offer independent QA and test automation as a dedicated service when a project needs deeper coverage.
We follow a secure development lifecycle — code review, dependency scanning, encrypted secrets, least-privilege access and encryption in transit and at rest. We build with GDPR and India's DPDP Act requirements in mind, and we can run a security audit, vulnerability assessment or compliance-readiness review as part of the engagement. We're glad to sign your data-processing terms.
For custom engagements, you do — the full source code and intellectual property transfer to you, typically on final payment, with a clean handover of repositories, infrastructure and documentation. White-label deployments are different: you own your branding, data and any custom extensions, while the underlying product platform stays licensed from us.
Yes. We're happy to sign your NDA before any detailed discussion, or to provide a mutual NDA if you prefer. Confidentiality terms are also written into our engagement contracts.
We start with a short discovery to align on outcomes, users and constraints, then propose a scope with milestones, timelines and a budget. Well-defined work can run fixed-scope; evolving products are usually better served by a time-and-materials or monthly retainer model with regular demos, so you stay in control of priorities and spend.
Let’s build
what’s next — together.
Tell us about your product. We usually reply the same business day with next steps, timelines and a rough estimate.