🏦
For Enterprise & VC

Engineering at
Enterprise Scale.
Without the Overhead.

We build the data intelligence pipelines, AI automation systems and dedicated engineering teams that enterprise companies and VC firms rely on to make faster, smarter decisions — at any volume.

1M+ API calls processed daily
2.5M+ companies tracked
NDA before day one
Enterprise Intelligence Dashboard
✦ Enterprise Tier
Live Data Pipeline Status
Collecting now
2.5M+
Companies indexed
↑ +4,200 today
1M+
Daily API calls
↑ 99.9% uptime
98.4%
Data accuracy
↑ QA validated
Live Intelligence Feed
3,847 new startup profiles collected — Series A/B filter applied
2 min ago
Competitor pricing data refreshed — 12,400 SKUs updated
8 min ago
AI agent processed 2,100 inbound leads — 340 qualified
15 min ago
Weekly portfolio intelligence report auto-generated & sent
1 hr ago
Sources: Crunchbase LinkedIn YourStory Google +120 more

Built for Enterprise
& VC Teams

Different challenges, the same standard of engineering excellence. Click to see what we build for each.

For VC Firms
For Enterprise
🔭
Deal Flow & Portfolio Intelligence
Automated pipelines that collect, enrich and monitor startup data at scale — funding rounds, founder backgrounds, revenue signals, hiring trends and technology stacks. Give your investment team a data edge over every competitor.
CrunchbaseLinkedInYourStoryCustom sources
2.5M+
Startups tracked for a VC client
📊
Portfolio Monitoring Dashboards
Real-time dashboards that aggregate portfolio company metrics, news signals and competitive intelligence — all in one place for your investment team.
Custom dashboardsAlerts
🤖
AI-Powered Deal Screening
AI agents that pre-screen inbound deals, score them against your investment thesis and generate structured summaries — before an analyst ever opens a deck.
GPT-4oLangChain
📑
Automated LP Reports
AI agents that pull portfolio data, generate quarterly LP report drafts and package them — reducing report production from days to hours.
Auto-generationBranded output
🔗
Custom VC Tech Stack Integrations
Connect your proprietary systems — Affinity CRM, Notion, Airtable, Slack — to your data pipelines and AI tools for a fully integrated investment workflow.
AffinityAirtableNotion
🏭
Large-Scale Data Intelligence Pipelines
Enterprise-grade data collection systems that run continuously, handle millions of records daily and deliver clean, structured data directly to your data warehouse, BI tools or product APIs — with 99.9% uptime SLAs.
1M+ records/day99.9% uptimeCustom SLA
30TB+
Data processed for enterprise clients
🤖
Enterprise AI Workflow Automation
AI agents embedded into enterprise operations — processing documents, routing requests, automating approvals and eliminating manual work at department scale.
80% ops reduction24/7 autonomous
👥
Embedded Engineering Teams
Dedicated teams of 3–15 engineers embedded directly into your enterprise — working to your processes, on your tools, under your management structure.
NDA protectedScalable
⚙️
Legacy System Integration & APIs
Connect legacy enterprise systems to modern APIs, data streams and AI layers — without ripping and replacing your existing infrastructure.
REST/GraphQLMicroservices
🔒
Compliance-Ready Development
All development follows enterprise security standards — data governance, access controls, audit trails and compliance documentation included from day one.
GDPRSOC2 readyOWASP

Numbers That Prove
We've Done This Before

These aren't estimates. These are production metrics from live enterprise and VC client deployments.

🔭
2.5M+
Startup profiles tracked globally for a single VC client
Collected from 120+ sources including Crunchbase, LinkedIn, YourStory and proprietary databases — updated continuously.
1M+
API calls processed daily across enterprise deployments
With 42ms average response time, 99.9% uptime and zero data loss events across all production systems.
💾
30TB+
Data processed and delivered for enterprise clients to date
Across real estate, job market, e-commerce, startup intelligence and financial data verticals.

Enterprise-Grade
Security Standards

We understand that enterprise and VC engagements require strict confidentiality, data governance and security protocols. These aren't optional extras — they're built into every engagement from day one.

📄
Full NDA Before Any Briefing
We sign comprehensive NDAs covering all project details, client names, data and proprietary information before a single document is shared.
🔐
IP Transfer & Data Ownership
Full IP transfer agreements ensure all code, data pipelines and systems we build belong entirely to your organisation. No lock-in, no licensing grey areas.
🛡️
Data Governance Standards
GDPR-conscious development, access control management, audit logging and data retention policies aligned to your enterprise standards.
🔑
Secure Development Practices
OWASP-aligned security, encrypted communications, secret management via Vault, dependency audits and secure code reviews on every engagement.
🔒
NDA-Protected Engagement
Every enterprise and VC engagement is fully NDA-protected before any work begins. Your data, clients and strategies stay completely confidential.
✓ Signed before Day 1
📋
Custom SLA Agreements
Enterprise clients receive custom service-level agreements covering uptime, response times, data accuracy and dedicated support protocols.
✓ 99.9% uptime SLA
🌍
GDPR-Conscious Data Practices
All data collection and processing is designed with privacy compliance in mind — proper consent handling, data minimisation and right-to-erasure support.
✓ Privacy by design

How We Onboard
Enterprise Clients

A structured, low-friction process built for enterprise decision-making — with clear milestones at every stage.

01
Discovery Call & NDA
We align on your objectives, constraints and scale requirements. NDA signed before this call if preferred. No information shared unsecured.
02
Technical Assessment
We audit your current stack, data sources and workflows — then design the right architecture before proposing anything. No template solutions.
03
Pilot Engagement
We recommend starting with a focused pilot — proving capability and ROI before a full-scale commitment. Most enterprise clients expand after week 4.
04
Full-Scale Deployment
Dedicated team embedded, full SLA in place, monitoring dashboards live. Ongoing support, optimisation and capacity scaling as your needs grow.
2.5M+
Companies tracked for VC clients
99.9%
Uptime across enterprise systems
30TB+
Data processed to date
10+
Years serving enterprise clients

Proof of Scale,
At Enterprise Level

Real deployments for real enterprise and VC clients — not demos, not prototypes.

View All Case Studies →

What Enterprise Clients
Say About BinaryBits

★★★★★

"Web Scraping has revolutionised our product, enabling us to achieve faster outputs and enhance efficiency significantly. BinaryBits delivered exactly what we needed — on time and beyond expectations."

AS
Aditya Sharma
CEO · United States
★★★★★

"Working with BinaryBits was a pleasure. They were attentive to detail and always open to feedback. Even when there were issues, they bounced back quickly and remained committed to delivering great results."

YD
Yizhen Dong
Enterprise Partner · United States
★★★★★

"BinaryBits is a very smart engineering company. They fully understood the requirements and made suggestions on how to make them better. They also tested their own work thoroughly. Highly recommendable!"

AL
Alexandar S.
Enterprise Client · Austria

Enterprise & VC
Questions Answered

What scale of data collection can you handle?
We currently process over 1 million API calls daily across enterprise deployments and have indexed 2.5M+ company profiles for a single VC client. We scale based on your requirements — from thousands to tens of millions of records per day — with infrastructure designed for reliability, not just volume.
Do you offer SLA agreements for enterprise clients?
Yes. Enterprise engagements include custom SLA agreements covering uptime (we target 99.9%), data accuracy rates, response time standards and escalation protocols. We discuss and formalise the SLA during our technical assessment phase before any work begins.
How do you handle data confidentiality for VC clients?
All VC engagements are fully NDA-protected before any briefing. We treat your deal flow, portfolio data and investment thesis as strictly confidential. No client names, data or strategies are shared with any third party. Our team operates on a need-to-know basis with strict access controls.
Can you integrate with our existing enterprise stack?
Yes. We regularly integrate with enterprise systems including Salesforce, HubSpot, SAP, custom ERPs, Affinity CRM, Airtable, Notion, Slack and proprietary platforms. We start with a technical assessment to understand your existing architecture and build integrations that fit into your workflow, not around it.
Do you recommend starting with a pilot?
Yes — and we always suggest it. A focused 4–6 week pilot lets you validate our capability, see real data quality and measure ROI before committing to a full-scale engagement. Most enterprise clients expand significantly after the pilot phase because the results speak for themselves.

We Also Work With

🚀
For Startups
MVPs, AI automation and data pipelines for early-stage and growth-stage startups who need to move fast without large teams.
🏢
For Agencies
White-label engineering and data services for digital agencies looking to expand their technical capabilities under their brand.

Ready to Build at
Enterprise Scale?

Tell us about your scale requirements, data needs or engineering challenge. We'll respond with a clear technical assessment and pilot proposal — fully under NDA, within 24 hours.

📞 +91 8866 717175 ✉️ chirag@binarybits.co 🔒 NDA signed within 24 hours
🍪
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