Braincuber

Braincuber Technologies is an India-based AI and cloud engineering firm founded around 2020 that works with D2C brands, SaaS companies, and e-commerce operators. The company has delivered 500+ projects over four years and employs a team that includes at least one founder with Andrew Ng's Deep Learning specialization. They position themselves as builders of agentic AI systems (using LangChain, CrewAI, and custom frameworks) paired with cloud infrastructure and ERP automation, rather than resellers of API services. The core offer is fixed-price delivery: 48-hour audits, seven-day SOWs, and ownership of IP by the client at signing.

Services and capabilities

Braincuber operates four main service lines, each with a fixed delivery timeline and price transparency. The Odoo + AI offering targets Indian D2C brands, replacing Tally, Unicommerce, and spreadsheets with a unified Odoo system plus AI modules. They promise six to eight weeks to production and claim 50+ live implementations. The modules handle GST reconciliation (GSTR-1, 3B, 2A, 2B), demand forecasting, multi-channel inventory sync (Shopify, Amazon, Flipkart, Myntra, Nykaa, Ajio, Meesho), WhatsApp returns triage, and channel-level P&L reporting without exports. One case study describes a ₹42 crore ARR beauty brand that reduced GST close time from three days to half a day and eliminated 17 monthly negative-stock incidents after implementation.

The AWS + AI line serves SaaS CTOs and deploys Bedrock RAG, GPU clusters on EKS, MCP servers, and compliance baselines (PCI-DSS v4.0, HIPAA, SOC 2 Type II). They claim typical Series B companies save 25–40% on their first AWS bill and cite cost optimizations like swapping idle Bedrock provisioned throughput ($8,400/mo) to on-demand, reducing oversized OpenSearch indices from $3,200 to $1,100/mo, and auto-stopping unowned GPU instances ($26,800/mo savings). One example involved a Series B SaaS that hired an AI engineer for 90 days unsuccessfully; Braincuber shipped a production Bedrock feature on 2.1 million support tickets in five weeks, with sub-two-second p95 latency and 63% of forecasted cloud spend.

Custom AI Agents ship single-workflow automation in four weeks with an eval harness on day one and full IP transfer. Patterns include support triage (Zendesk, Freshdesk, Intercom integration), lead research pulling signals from LinkedIn and Twitter, document processing (invoices, contracts, claims), internal Q&A bots on Slack or Teams, MCP servers exposing data to Claude and Cursor, and multi-step workflow agents with retry logic. They state no framework religion—using LangChain for ~90% of projects, CrewAI for multi-agent orchestration, plain Python when LangChain is excessive, and Bedrock or self-hosted Llama for compliance-bound clients. A D2C beauty brand's returns triage agent shipped in three weeks and has run for 12 months at 92% steady-state tier-one resolution (saving ~5 hours/day), surviving model deprecations without rebuild.

Shopify + AI builds storefronts using Hydrogen and Liquid custom apps with AI search, semantic recommendations, and automated merchandising. The site does not detail case studies for this line specifically.

Notable work

The blog mentions case studies titled "₹4.2L/Quarter Hidden Influencer Gifting Cost," "Nykaa Channel Profitability Discovery," and "₹3Cr Skincare Brand: 18-Day Close → 4-Day Close," though full details are not in the source. Named client outcomes include the ₹42 crore beauty brand (Odoo + AI, GST close 3 days → 0.5 days, negative stock incidents 17/month → 0); a Series B B2B SaaS (AWS + AI, 2.1M tickets, 1.8s latency, Bedrock spend 63% of forecast); and a D2C beauty brand (Custom AI Agents, 92% returns auto-handled, 1-year stable production run). The Odoo + AI page claims 50+ Indian D2C brands live and 12 EOSS weekends shipped without negative-stock incidents.

How they work

All three main service lines use the same pricing philosophy: free 48-hour audit with one-page memo, fixed-price SOW within seven days, and no time-and-materials engagements. For Odoo + AI, the six-to-eight-week playbook includes a two-day on-site discovery, weeks 2–3 of build and data migration, week 4 integrations (Shopify, marketplaces, couriers, WhatsApp), week 5 AI and reporting, week 6 parallel run, and weeks 7–8 cutover with 30 days of post-launch Slack support included. For AWS + AI, the 48-hour audit includes architecture, weekly plan, cost estimate by service, and roadmap before any build starts. Custom agents ship in four weeks with an eval harness on day one; gate targets (accuracy, guardrails, shadow mode, rollout ramp) are locked in writing before work begins. IP ownership transfers to the client at SOW signing across all lines.