Coreworks AI, the Bengaluru-based pioneer in AI-powered business intelligence for finance teams, announced a $5 million seed funding round on March 10, 2026. Led by Together Fund with participation from IvyCap Ventures, the investment validates Coreworks’ mission to transform financial analysis from manual spreadsheet wrestling to natural language-driven autonomous workflows.​

The platform enables finance professionals to query complex datasets across ERP systems, CRMs, financial models, and spreadsheets using plain English commands, generating traceable reports, forecasts, and insights without coding or data engineering. Founders Pavan Sondur and Prashant Godhwani—veterans of Unbxd’s $100 million acquisition—leverage their e-commerce AI expertise to build “AI SuperAnalyst,” targeting a $50 billion addressable market in financial intelligence automation.​

Founders’ Proven Track Record from Unbxd Success

Pavan Sondur (CEO) and Prashant Godhwani (CTO) previously scaled Unbxd from dorm-room startup to category leader in AI-powered search and discovery, serving 1,300+ global retailers including PUMA, Alpro, and Sephora before its $100 million acquisition. Their experience building production-scale AI for Fortune 500 commerce operations directly informs Coreworks’ approach to enterprise finance challenges—replacing fragmented Excel workflows with unified, agentic intelligence.​

At TechSparks 2025, Sondur emphasized metric-driven AI adoption: “Features represent motion; metric improvement signals progress. Run time-boxed trials with control groups for every AI tool.” This philosophy guides Coreworks’ development, prioritizing measurable outcomes like 5x faster report generation and 80% reduction in manual data reconciliation.​

AI SuperAnalyst: Natural Language Query Engine for Finance

Coreworks AI SuperAnalyst connects seamlessly to enterprise data sources—ERP systems (SAP, Oracle), CRMs (Salesforce, HubSpot), financial models, and spreadsheets—semantically understanding structured and unstructured data to deliver precise, traceable answers. Users ask questions like “What’s our Q2 cash burn by department?” or “Forecast revenue impact if we lose Top 5 customers,” receiving instant visualizations, scenario models, and audit trails showing exact data lineage.​

Key capabilities include:

• Autonomous Report Generation: AI agents build multi-page financial reports, variance analyses, and board presentations from natural language briefs, incorporating company-specific templates and compliance standards.

• Predictive Scenario Modeling: Stress-test assumptions across interconnected models—what-if analyses for pricing changes, headcount shifts, or macroeconomic variables—with confidence intervals and sensitivity tables.

• Cross-System Data Reconciliation: Automatically harmonizes discrepancies between CRM pipeline forecasts, ERP actuals, and accounting ledgers, flagging anomalies for human review.

• Agentic Workflow Orchestration: Multi-agent systems divide complex tasks (e.g., “Build investor deck for Series A”) into subtasks—data aggregation, narrative drafting, visualization creation—executing in parallel with human approval gates.​

Target Market: Finance Teams Trapped in Spreadsheet Hell

Coreworks targets mid-market to enterprise finance teams ($50M-$1B ARR) spending 60-70% of time on data gathering and reconciliation rather than strategic analysis. Traditional BI tools (Tableau, Looker) require SQL expertise and data engineering; Coreworks delivers conversational intelligence accessible to VPs Finance, Controllers, and FP&A analysts without technical prerequisites.​

Early pilots demonstrate 10x productivity gains: monthly close cycles shrink from 10 days to 1; board reporting automates 90% of manual work; forecasting accuracy improves 25% through ensemble modeling. The platform learns company-specific patterns—revenue seasonality, cost structures, KPI definitions—eliminating generic AI outputs.​

Strategic Investors and Funding Deployment

Together Fund’s backing reflects conviction in India’s AI infrastructure moment, with partner Arjun Bhatia noting: “Coreworks solves the universal pain of financial data accessibility with production-grade agents that respect enterprise governance.” IvyCap Ventures adds sector expertise from backing SaaS leaders like Freshworks and Postman.​

The $5 million fuels product-market expansion: doubling engineering from 15 to 30, launching U.S. go-to-market Q3 2026, building vertical templates for SaaS/consumer/retail, and enhancing multi-agent orchestration for complex workflows like M&A diligence and capital raise modeling. Near-term ARR target: $2M by Q4 2026.​

Technical Architecture: Agents That Show Their Work

Unlike chatty LLMs prone to hallucination, Coreworks’ architecture mandates agent transparency: every output traces back to source data with lineage diagrams, confidence scores, and editable assumptions. Agents operate in “show your work” mode, surfacing intermediate reasoning steps for audit and refinement. Custom retrieval-augmented generation (RAG) indexes enterprise data lakes while respecting access controls and data residency.​

The system learns organizational memory: recurring report formats, preferred visualization styles, executive personas, compliance templates—reducing setup from weeks to hours. Multi-agent collaboration handles complexity: one agent aggregates data, another builds models, a third stress-tests outputs, with a coordinator synthesizing final deliverables.​

Competitive Landscape and Defensibility

Coreworks competes in enterprise AI BI against ThoughtSpot (search-driven analytics), Composio (agent frameworks), and Causal (financial modeling), but differentiates through finance-specific domain expertise, full auditability, and seamless ERP/CRM integrations absent from generalist platforms. Unbxd’s $100M exit provides street cred; the team’s 10+ years building commerce AI translates directly to financial pattern recognition.​

Go-to-Market Strategy and Early Traction

Initial focus targets India/U.S. SaaS companies (ARR $10M-100M) undergoing hypergrowth where finance bandwidth constraints bottleneck scaling. Early customers include consumer internet, D2C brands, and fintechs reporting 70% time savings on reporting, 3x faster forecasting cycles, and investor-grade materials producible in hours versus weeks.​

India as AI Infrastructure Hub

Coreworks exemplifies Bengaluru’s emergence as enterprise AI capital, joining Uniphore, Sarvam AI, and Krutrim in building defensible vertical intelligence. The firm’s remote-first culture and Ivy League talent pipeline positions it to capture global demand while maintaining India-cost advantages.​

Conclusion

Coreworks AI’s $5 million seed round launches a category-defining platform that liberates finance teams from spreadsheet drudgery, delivering autonomous intelligence across ERP, CRM, and financial systems with enterprise-grade traceability. Backed by Unbxd founders’ proven execution and Together Fund’s conviction, Coreworks targets the $50B BI bottleneck—automating what humans can’t scale while preserving strategic judgment—poised to redefine financial decision-making for the AI era.