Best Outsourcing Company in India

## InfoSearch BPO Services: Chennai-Based Outsourcing with 20+ Years in the Field

InfoSearch BPO Services Pvt Ltd is a global outsourcing company headquartered in Chennai, India. They have been operating for over 20 years and run an in-house team of 400+ employees serving clients across North America, Europe, West Asia, and Asia-Pacific. The company spans three broad capability areas: BPO and back-office services, call centre and customer support, and data annotation for AI and machine learning workloads.

That last category is worth calling out specifically. InfoSearch is actively recruiting 100+ annotators for sports annotation AI projects, which signals real, current demand on the annotation side. They claim to process 25 million+ data annotation tasks per month, which, if accurate, puts them in a meaningful production tier. Annotation types include bounding box, polygon, semantic segmentation, autonomous vehicle cuboid annotation, image labeling, geospatial annotation, and others. For AI/ML teams that need reliable offshore annotation at scale, this is the most differentiated thing InfoSearch brings to the table compared with a generic BPO.

On the BPO side, the service catalogue covers back office services, invoice factoring support, underwriting support, accounts and finance services, human resource services, and e-commerce support. Call centre capabilities include inbound call support, answering services, technical support, customer service, inbound sales, order taking, outbound support, and chat and email support. Data services cover data processing, data mining, data cleansing, data verification and extraction, data conversion, and data analysis.

This is a wide service footprint for a 400-person operation. I would not assume depth is equal across every line item. A vendor that does underwriting support, AI annotation, and outbound sales simultaneously is not necessarily weak at all of them, but a buyer should press on which processes run the largest teams, who manages those teams day to day, and what QA looks like at the process level. Knowing that they have 400+ in-house employees helps establish that this is not a broker, but a direct delivery model.

InfoSearch explicitly states that all projects are executed in-house, with no pass-through to other BPO centres. That is a meaningful claim for buyers worried about data handling and subcontracting risk. It is also worth verifying in your due diligence call.

The company holds ISO 9001 and ISO 27001 certifications. ISO 9001 indicates a quality management system is in place. ISO 27001 is the relevant standard for information security, which matters for any process touching customer data, financial records, or personally identifiable information. For buyers in regulated industries or those handling European customer data, these certifications are a floor, not a ceiling, but they do indicate a baseline of documented process and third-party audit. Confirm certificate validity and scope on your call.

Geography and timezone: Chennai, India puts InfoSearch in the IST timezone (UTC+5:30). For North American buyers, this means an overnight shift overlap, which is workable for back-office and data processing tasks where real-time collaboration is not critical. For European buyers, there is a few-hour morning overlap. The company says it supports businesses 24x7, which at their headcount is feasible if they run shift coverage. Nearshore alternatives would give US buyers more timezone overlap, but at a higher price point. For documented, repeatable work like data processing, annotation, or back-office support, the IST timezone trade-off is generally acceptable.

On pricing, InfoSearch claims 50 to 70 percent cost savings on back-office outsourcing. My editorial read: offshore India rates for back-office and data work typically run in the $6 to $14 per agent hour range depending on process complexity, team size, and management overhead. I would treat the "50 to 70 percent savings" figure as marketing framing and build your own comparison against your current fully-loaded cost per transaction or per resolved case. Do not compare hourly rates in isolation.

The client testimonials on their site include references to multi-year relationships and coverage across Europe, the Far East, and Central America. These are positive signals, but are unverified. I would ask for references in your specific process type and region during evaluation.

**Who this vendor suits best:** Companies needing offshore data annotation for AI and ML projects, back-office processes that are well-documented, or customer support at scale where 24x7 coverage and cost efficiency matter more than same-timezone presence. E-commerce businesses, finance teams that need invoice and accounts support, and AI product teams with ongoing annotation workloads are all plausible fits.

**The tradeoffs to check:** With a broad service menu and 400 employees, ask specifically which service lines are the largest and most mature. Verify ISO certificate scope. Ask how QA is structured for the process you are evaluating, what the error rate looks like, and what escalation looks like when volume spikes. The in-house delivery model is a positive, but confirm it covers your specific process. Pricing claims are marketing; get a line-item quote and compare against your actual cost baseline before signing.