Case Studies
Launched Filo's US Tutoring Marketplace as Founding PM
- Scaled the US marketplace from zero to 120K users and $1.5M ARR in six months.
- Rejected a lift-and-shift of India's matching logic; built US-specific matching around tutor liquidity, pricing, and session intent. 98% of requests filled in under 45s.
- Lifted activation 35% through onboarding and session-continuity fixes.
ARR Generated
$1.5M+
Matches in <45 sec
98%
Launched Filo's US Tutoring Marketplace as Founding PM
- Scaled the US marketplace from zero to 120K users and $1.5M ARR in six months.
- Rejected a lift-and-shift of India's matching logic; built US-specific matching around tutor liquidity, pricing, and session intent. 98% of requests filled in under 45s.
- Lifted activation 35% through onboarding and session-continuity fixes.
ARR Generated
$1.5M+
Matches in <45 sec
98%
Launched Filo's US Tutoring Marketplace as Founding PM
- Scaled the US marketplace from zero to 120K users and $1.5M ARR in six months.
- Rejected a lift-and-shift of India's matching logic; built US-specific matching around tutor liquidity, pricing, and session intent. 98% of requests filled in under 45s.
- Lifted activation 35% through onboarding and session-continuity fixes.
ARR Generated
$1.5M+
Matches in <45 sec
98%
Built the Company's First AI-Powered Sales Workflow (Lead-to-Quote)
- Shipped the company's first GPT-3.5 production workflow in 2023, across 8K RFQs/month.
- Cut quote turnaround from 18 hours to under 1 hour, RFQ turnaround from 15 days to under 3 days.
- Defined confidence tiers, price floors, escalation paths, and human overrides.
RFQ Volume (Monthly)
8K+
Quote Turnaround Time
18 hrs to
<1 hr
Built the Company's First AI-Powered Sales Workflow (Lead-to-Quote)
- Shipped the company's first GPT-3.5 production workflow in 2023, across 8K RFQs/month.
- Cut quote turnaround from 18 hours to under 1 hour, RFQ turnaround from 15 days to under 3 days.
- Defined confidence tiers, price floors, escalation paths, and human overrides.
RFQ Volume (Monthly)
8K+
Quote Turnaround Time
18 hrs to
<1 hr
Built the Company's First AI-Powered Sales Workflow (Lead-to-Quote)
- Shipped the company's first GPT-3.5 production workflow in 2023, across 8K RFQs/month.
- Cut quote turnaround from 18 hours to under 1 hour, RFQ turnaround from 15 days to under 3 days.
- Defined confidence tiers, price floors, escalation paths, and human overrides.
RFQ Volume (Monthly)
8K+
Quote Turnaround Time
18 hrs to
<1 hr
Developed Enterprise Document Intelligence at Production Scale
- Processed 100K+ docs/month at 95%+ accuracy, cutting turnaround 70%.
- Killed six planned per-format parsers for a schema-driven retrieval layer after auditing 200+ failed extractions.
- Built the eval framework: extraction accuracy, hallucination rate, confidence calibration.
Extraction Accuracy
>95%
Turnaround Time (Reduced)
70%+
Developed Enterprise Document Intelligence at Production Scale
- Processed 100K+ docs/month at 95%+ accuracy, cutting turnaround 70%.
- Killed six planned per-format parsers for a schema-driven retrieval layer after auditing 200+ failed extractions.
- Built the eval framework: extraction accuracy, hallucination rate, confidence calibration.
Extraction Accuracy
>95%
Turnaround Time (Reduced)
70%+
Developed Enterprise Document Intelligence at Production Scale
- Processed 100K+ docs/month at 95%+ accuracy, cutting turnaround 70%.
- Killed six planned per-format parsers for a schema-driven retrieval layer after auditing 200+ failed extractions.
- Built the eval framework: extraction accuracy, hallucination rate, confidence calibration.
Extraction Accuracy
>95%
Turnaround Time (Reduced)
70%+
Founded and Exited an Inventory Intelligence SaaS
- Scaled to 63 paying companies, then exited through a technology sale.
- Repositioned from ERP replacement to an ERP-agnostic intelligence layer after 50+ customer interviews.
- Lifted inventory record accuracy from 75% to 95%+ and cut onboarding from 6+ weeks to under 7 days.
Paying Customers
63
Record Accuracy
95%+
Founded and Exited an Inventory Intelligence SaaS
- Scaled to 63 paying companies, then exited through a technology sale.
- Repositioned from ERP replacement to an ERP-agnostic intelligence layer after 50+ customer interviews.
- Lifted inventory record accuracy from 75% to 95%+ and cut onboarding from 6+ weeks to under 7 days.
Paying Customers
63
Record Accuracy
95%+
Founded and Exited an Inventory Intelligence SaaS
- Scaled to 63 paying companies, then exited through a technology sale.
- Repositioned from ERP replacement to an ERP-agnostic intelligence layer after 50+ customer interviews.
- Lifted inventory record accuracy from 75% to 95%+ and cut onboarding from 6+ weeks to under 7 days.
Paying Customers
63
Record Accuracy
95%+