Help Center
Everything buyers, founders and engineering leaders ask us about working with T7 — services, engagement, timelines, stack, support and security.
LLM integration, AI chatbots, voice agents, OCR and document AI, predictive analytics, computer vision, intelligent automation and agentic AI systems — delivered end-to-end from architecture to production.
Yes. We build full-stack enterprise SaaS, ERPs, POS systems, healthtech platforms and internal tools. AI is a capability we layer into whatever we ship.
Yes. Most engagements start with a paid 1–2 week discovery to align on scope, success metrics, architecture and a delivery plan you can take to any vendor.
Yes. We regularly inherit React, Node, Python and Postgres codebases — starting with an audit, then stabilising CI, tests and observability before shipping new features.
Yes. After launch we offer retained pods that own uptime, evaluation, model updates and iteration on the same SLAs your product needs.
Three common shapes: fixed-scope discovery (1–2 weeks), delivery projects (6–16 weeks, milestone-based), and embedded pods (monthly retainer with a dedicated senior team).
Every engagement is scoped during a free discovery call based on team size, project duration and technical complexity.
Yes, gladly. Send yours to info@t7solution.com or ask us to send ours.
You do. Our contracts assign all custom code, models, prompts and documentation to you on payment. We only reuse generic frameworks and tooling.
For discovery, typically within 1–2 weeks. For a delivery pod, 3–4 weeks depending on team size.
Prototype: 2–4 weeks. Production MVP: 6–12 weeks. Enterprise rollout with change management: 3–6 months. We prefer thin end-to-end slices over long horizons.
Yes — two-week sprints with weekly demos, a shared backlog and full visibility into the delivery board.
OpenAI (GPT-4/4o), Anthropic (Claude), Google (Gemini), Meta (Llama) and Mistral. We pick per use case based on latency, cost, evaluation results and data residency needs.
We use pgvector by default for cost-efficient in-Postgres retrieval, and step up to Pinecone, Weaviate or Qdrant when scale, filtering or replication demands it.
React/Next.js on the frontend; Node.js, Python (FastAPI) or edge functions on the backend; Postgres as the primary datastore. We match your stack when you already have one.
Yes. We deploy into AWS, Azure, GCP or customer-owned VPCs, and support self-hosted open-source LLMs for teams with strict data-residency requirements.
Business hours are 09:30–18:30 IST, Monday–Friday. Retainer clients get extended coverage and on-call rotations as agreed.
Via a shared Slack/Teams channel or a ticketing tool of your choice. Every retained project has an SLA covering response and resolution times by severity.
Yes. We include admin training, developer onboarding and a runbook covering deployment, evaluation and rollback procedures.
Access is role-based and least-privilege. Production data is never copied to laptops; when needed we use anonymised fixtures or work inside your VPC. Full details on the Trust page.
Yes. We can execute your DPA or provide a standard T7 DPA aligned to GDPR/DPDP principles. Contact info@t7solution.com.
By default in the region you specify (India, EU, US). We support customer-owned buckets and databases when you want to retain full custody.
No. We use enterprise API tiers with training disabled, or self-hosted open models when the risk profile requires it.