Acelerar

About Acelerar

Acelerar is an India-based outsourcing company specializing in data entry, back-office operations, e-commerce support, and accounting services, with a stated deployment model of pre-trained teams going live within seven days. The company positions itself as an AI-native BPO, meaning its agents work alongside automation tools and LLMs to handle tasks like invoice processing, data cleansing, catalog management, and accounts payable, rather than relying purely on manual labor. The service lineup is broad. On the data side, Acelerar covers data entry, extraction, annotation, labeling, cleansing, and conversion. For e-commerce clients, the team handles Amazon and Shopify listings, catalog management, order processing, and multi-marketplace operations. The accounting practice includes bookkeeping, AP/AR, bank reconciliation, payroll, and financial reporting, with white-label options advertised for accounting firms. Virtual assistant services span admin, research, email/chat support, and real estate or e-commerce VA roles. The company also offers recruitment process outsourcing and staff outsourcing. Acelerar holds ISO 27001 (information security) and ISO 9001:2015 (quality management) certifications, which is a meaningful baseline for buyers who need documented security and quality processes, though I'd still want to see how those certifications translate into day-to-day data handling practices, especially for clients sharing sensitive financial or customer data. The 'deployed in 7 days' claim is the centerpiece of their pitch. That's worth probing: ask specifically what the onboarding covers, how process documentation is captured, and what the SLA looks like for the first 30 days versus steady state. The 99.5% accuracy SLA for data entry is also a specific commitment, get that in writing and ask how accuracy is measured and what remedies exist if it's missed. This vendor looks well-suited to SMBs and mid-market teams needing reliable, documented back-office capacity without building in-house. I'd ask about team tenure, QA sampling rates, and how they handle volume spikes before signing.