Shemal Big ✓

Big Habesha

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Market Position

| Area | Highlights | |------|-------------| | | Positioned as a “plug‑and‑play” alternative to legacy on‑prem solutions (e.g., Snowflake, Cloudera) and to heavyweight cloud services (AWS Redshift, Azure Synapse). | | Revenue Trajectory | FY 2023: US$12.3 M (ARR); FY 2024: US$23.8 M (ARR) – +93 % YoY . 2025 guidance: US$38 M ARR. | | Customer Base | 124 paying customers (Q4 2025) across fintech, health‑tech, retail, and manufacturing. Average contract value (ACV) = US$190 k. | | Funding | Series A – US$15 M (2023, led by Bessemer); Series B – US$35 M (2025, led by Sequoia Capital). Post‑money valuation: US$210 M (Oct 2025). | | Product Differentiation | • Auto‑Curate Engine – AI‑driven schema detection, data‑quality scoring, and lineage. • Modular Marketplace – 48 pre‑built analytics apps (e.g., churn‑prediction, demand‑forecast). • Zero‑Code Orchestration – visual pipelines that integrate with SaaS sources (Salesforce, HubSpot, Snowflake). | | Financial Health | Gross margin 71 % (2025). Net loss US$4.1 M (2025) – mainly R&D & go‑to‑market spend. Cash runway: 22 months (as of Q4 2025). | | Risks | • Concentrated customer base (top‑5 accounts = 28 % of ARR). • Intense competition from established cloud providers. • Scaling of AI‑curation engine under heavy data‑volume loads. | shemal big

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Shemal Lake

| Component | Technical Highlights | Value Delivered | |-----------|----------------------|-----------------| | | • Object‑store agnostic (S3, Azure Blob, GCP). • Columnar Parquet storage with automatic compaction. • Built‑in encryption‑at‑rest & token‑based access control. | Scalable, cost‑effective storage; compliance‑ready. | | Auto‑Curate Engine | • Deep‑learning models (Transformer‑based) for schema inference across semi‑structured logs, CSV, JSON, Avro. • Data‑quality scoring (completeness, drift, outlier detection). • Real‑time lineage graph stored in a graph DB (Neo4j). | Eliminates manual ETL mapping, reduces data‑prep time by 70 % (customer surveys). | | Zero‑Code Orchestrator | • Drag‑and‑drop UI built on React + D3. • Over 120 native connectors (Salesforce, HubSpot, QuickBooks, etc.). • Scheduler with SLA‑aware auto‑scaling on Kubernetes. | Allows business analysts to build pipelines without code; speeds up onboarding. | | Marketplace | • 48 certified analytics apps (industry‑specific). • One‑click deployment, auto‑parameter binding to data sources. • Revenue‑share model (30 % to app developers). | Provides instant ROI; creates ecosystem effect. | | AI‑Assisted Insight Engine (Beta) | • LLM‑driven natural‑language query interface (Chat‑Shemal). • Auto‑generated dashboards based on business intent. | Early‑stage, expected GA Q3 2026. | | | Customer Base | 124 paying customers