Looking for an Alternative to Your Offshore Research Provider?
Whether you are exploring offshore research support for the first time, comparing providers like SG Analytics, Acuity Knowledge Partners, Evalueserve, TresVista, or Aranca — or reviewing an existing arrangement in light of what AI now makes possible — it is worth understanding how different models produce different outcomes.
Large KPO firms have built impressive operations and created real value across the industry. Frontline Analysts is the next generation of this model — built for analytical judgement, deep integration with your onshore team, and human-plus-AI research where the answer has to be right.
How Frontline Compares
| Typical Large KPO Model | Frontline Analysts | |
|---|---|---|
| Analyst retention | Typically 2-3 years in large KPO firms | 6.6 years - triple the norm |
| Talent source | Broad hiring pool across India | Targeted hiring from India's top-tier MBA programmes |
| Training | 1-2 week onboarding programme | Three-month structured training programme led by former City of London and Wall Street analysts |
| Engagement management | Offshore team leads and account managers | London-based senior analysts, ex-City bankers who run the engagement directly |
| Communication | Typically managed through offshore team leads | Your analysts talk directly to your onshore team, no middle managers |
| Regulatory oversight | Standard compliance processes | Oversight includes senior professionals with Bank of England regulatory backgrounds. Analysts trained to explain their methodology under audit scrutiny. |
| AI integration | Investing heavily in AI and automation platforms | Our analysts use best-in-class AI tools to work faster and more thoroughly. We are not an AI software house. We leave that to the technology giants. We make AI work for skilled humans, so the judgement in your research is real. |
When the Large KPO Model Is the Right Choice
Large KPO firms are often the right solution where the work is high-volume and process-driven, where multiple analysts are needed quickly, or where standardised outputs are sufficient. They have built effective delivery infrastructure at scale, and for many institutions that model works well.
Frontline's model is typically chosen when analysts need to remain embedded with the same team for years, when judgement and continuity matter more than scale, and when the offshore team effectively becomes an extension of the desk. Our analysts currently support credit, equity, and risk desks at global banks and asset managers across London, New York, and Asia.
Why This Matters Now
AI is changing what offshore research can deliver. Tasks that once required teams of analysts — data extraction, template population, routine monitoring — are increasingly handled by machines. That raises the bar for what human analysts need to contribute: not volume, but judgement.
Frontline's model is built for exactly this shift. Our analysts use AI every day to work faster and more thoroughly. But the value they add — the judgement call on whether a covenant headroom is comfortable, the assessment of whether management guidance is credible, the institutional memory that only comes from years with a client — is work that AI cannot do safely alone. Human-plus-AI, not one or the other, is how the best offshore research will be delivered from here.
Who Frontline Works With
Banks and asset managers needing offshore credit research, equity analysis, or investment banking support that integrates seamlessly with onshore teams
Hedge funds and investment firms requiring analyst support with genuine analytical judgement, not just data processing
Private credit and direct lending funds looking for dedicated coverage analysts with institutional memory
Boutique investment banking houses that need the quality of a top-tier analyst without the London headcount cost
Institutions with captive operations in India — helping them seed new capabilities, raise the quality bar, or solve problems their internal teams have not been able to crack
If you would like to understand how Frontline's model works in practice, we are happy to have that conversation.
Related: