Trusted by Our Clients








The problems wealth managers and advisors face daily
Advisors and analysts spend countless hours sifting through financial reports, news, and market data, slowing decision-making and leaving room for missed insights.
One-size-fits-all investment strategies often fail to reflect each client's goals, risk appetite, and financial journey.
Traditional risk models lag in identifying market volatility, liquidity risks, or client portfolio exposures until after losses occur.
Advisors are bogged down by repetitive administrative tasks like report generation and compliance documentation, reducing client-facing time.
Clients expect always-on digital experiences, but most firms still struggle to provide personalized advice at scale.
AI agents operate continuously across your wealth management ecosystem:
Continuously analyze financial reports, filings, news, and social sentiment, surfacing actionable insights for advisors and analysts.
Dynamically rebalance portfolios using predictive analytics and client-specific parameters like risk tolerance, investment horizon, and tax implications.
Detect emerging risks in real time, flagging portfolio vulnerabilities and recommending mitigation strategies.
Automate routine tasks — from performance reporting to compliance checks — freeing up advisors for client engagement.
Deliver hyper-personalized recommendations, nudges, and alerts across digital channels, enhancing trust and loyalty.
improvement in portfolio performance through smarter allocation
faster research and analysis cycles
reduction in advisor time spent on admin tasks
client satisfaction with personalized engagement at scale
portfolio risk exposure via proactive monitoring
expertise across wealth, asset, and capital markets
tailored to investment strategies and regulatory needs
with CRMs, trading platforms, and data providers
GDPR, SOC 2, ISO frameworks
Discover how we've helped businesses transform with intelligent AI solutions.
Built a multimodal AI agent platform for compliance teams, unifying access to archived emails, attachments, and documents across S3, databases, and internal systems. Agents handled ingestion, semantic retrieval, natural language interaction, and feedback learning, enabling context-aware search, AI-generated summaries, and faster audit readiness.
We developed a multi-agent AI system that reimagines how users assess, monitor, and improve data quality, enabling intelligent collaboration, automation, and real-time decision-making.
Multimodal GenAI-powered automated customer service platform for a large Electrical and Electronics Manufacturer, supporting NLP, image, audio, and video inputs for contextual insights and personalized information delivery.
LLM-powered healthcare knowledge assistant enabling scientists to retrieve complex clinical, chemical, and lab-related data using voice and text, reducing research time and improving accuracy in labs.
Narrative Generation Agent integrated with BI tools like Power BI, Tableau, and Qlik, transforming raw dashboard data into real-time natural language insights for faster decision-making.
GEN AI and ML-powered real-time Q&A system that analyzes user queries, recommends high-confidence responses, and continuously learns from user feedback to automate repetitive support functions.