Frequently Asked Questions

We build end-to-end AI automation for lead generation, voice AI (PreCallAI), email marketing, payment reminders, and custom business-process agents. Every engagement is scoped around a measurable business outcome.

Yes. We regularly design bespoke agents — from multilingual voice bots to internal tool copilots — by combining LLM orchestration, retrieval pipelines, and production-grade infrastructure tuned to your data and constraints.

A proof-of-concept usually lands in 2–4 weeks. A production deployment with observability, evaluation harness, and handover typically takes 8–16 weeks depending on integrations and compliance scope.

We ship across OpenAI, Anthropic Claude, Google Gemini, open-weight models (Llama, Mistral, Qwen), and self-hosted LLMs. We also work with LangChain, LlamaIndex, vector stores (Pinecone, pgvector, Qdrant), and custom fine-tuning pipelines.

End-to-end. We cover architecture, training, deployment to AWS / GCP / Azure, CI/CD, monitoring, cost controls, and handover documentation so your team can own the system after go-live.

We sign NDAs up front, isolate tenant data, enforce least-privilege IAM, support EU / US data residency, and can deploy fully inside your VPC. We align with SOC 2, GDPR, and HIPAA requirements on projects that need it.

Three common shapes: fixed-scope delivery for clearly defined MVPs, staff augmentation for teams that need senior engineers to plug in, and monthly retainers for ongoing AI and product development.

Yes. We staff dedicated squads — AI engineers, frontend (React / Next.js), backend (Node / Python / Go), DevOps / SRE, and QA — with a technical lead who integrates directly with your product and engineering managers.

All work product, source code, model weights, and documentation are assigned to you on payment. Every engagement starts with a mutual NDA and a master service agreement that explicitly covers IP transfer.

Both. Our client mix spans seed-stage startups shipping their first product to Fortune 500 teams modernising legacy systems. We adapt the engagement depth, governance, and pricing to the stage you are at.

Our engineering hubs span India (IST) and the US (ET, CT, PT). We routinely support 4–6 hour overlap with clients in Europe, North America, APAC, and the Middle East, with on-call rotations for production systems.

Reach us at [email protected] or the contact form. We respond within one business day, schedule a discovery call within 48 hours, and usually deliver a scoped proposal within one week.

Clients get a dedicated Slack or Teams channel, a ticketing portal, and a named account manager. For critical incidents, we provide phone escalation during the support window defined in your SLA.

Standard support covers 9 AM–9 PM local time, Monday to Friday, with a 4-hour first-response target. 24×7 support with 15-minute response SLAs is available on enterprise plans.

Yes. Retainers typically cover bug fixes, dependency upgrades, model re-evaluation, prompt and RAG-index refreshes, and a monthly health report that tracks cost, latency, and output quality.

Every active client gets access to our portal with ticket history, SLA timers, incident reports, and a weekly status digest. Real-time updates are mirrored into your Slack or Teams channel.

Production incidents follow a documented runbook: immediate triage, stakeholder notification, root-cause investigation, hotfix, and a written postmortem with corrective actions within five business days.

Yes. Plans renew monthly and can be changed with 30 days of notice. Upgrades (for example moving to 24×7 coverage) take effect immediately once provisioning is complete.