Enterprise-Grade Data Access Without the Enterprise IT Department
You invested in high-value business data. Now you’re staring at files that crash Excel, choke your current systems, or sit unused because no one on your team can practically query them.
This is the gap we bridge.
We transform purchased datasets—whether 500MB or 100GB—into dedicated, high-performance workstations tailored to how your team actually works.
- Remote setup.
- Full ownership transferred to you.
- No technical expertise required on your end.
Two Pathways, One Outcome: Immediate Data Usability
Pathway A: Compact Workstations (Under 5GB)
For focused datasets: targeted executive lists, regional market segments, specialized industry directories
Not every dataset demands server infrastructure. For smaller, high-value files, we engineer optimized local solutions that run on your existing hardware:
- Lightning-Fast Local Processing: Custom-built applications using embedded database engines (SQLite, FileMaker Pro) that deliver sub-second search results without internet dependency
- Single-File Portability: Your entire workstation—data, interface, and processing logic—packaged as a standalone executable or single document file. Move it between machines, run it offline, back it up with a simple copy
- Zero Infrastructure Costs: No servers to rent, no cloud subscriptions, no monthly hosting fees. Runs on any standard Windows PC or Mac your team already owns
- Instant Deployment: We deliver via secure download; your team is operational within hours, not days
Ideal for: Sales directors with 50,000-target prospect files, HR executives managing specialized talent pools, legal teams analyzing targeted litigation databases
Pathway B: Scalable Server Workstations (5GB to 100GB+)
For comprehensive databases: global business directories, multi-year transaction records, nationwide property/asset registries
When datasets outgrow local processing, we architect dedicated server environments that maintain speed regardless of scale:
- Dedicated Cloud Infrastructure: Provisioned under your direct account with providers like AWS, DigitalOcean, or Hetzner—you hold the keys, we hold nothing
- Optimized Data Engines: PostgreSQL or MariaDB configurations tuned specifically for your dataset’s structure and query patterns, with connection pooling and query caching for consistent performance under multi-user load
- Geographic Flexibility: Server location selected for your regulatory needs (GDPR-compliant EU regions, US-based for federal contractors, etc.)
- Vertical Scaling Ready: Start with cost-effective configurations; we architect for seamless expansion when you add datasets or users—no rebuild required
Ideal for: Private equity firms screening 10M+ company records, marketing agencies managing multi-terabyte consumer databases, logistics coordinators analyzing nationwide supply chain mappings
What “Turnkey” Actually Means
1. Bespoke Interface Development
Every dataset has unique fields, relationships, and business logic. We don’t force your data into generic templates—we build around it.
| Your Need | Our Solution | Technical Foundation |
|---|---|---|
| Simple search-and-export for 2-3 users | Streamlined desktop application | Python/Flask compiled to .exe, or FileMaker Pro runtime |
| Multi-department access with role-based permissions | Web dashboard with authentication layers | React frontend, REST API backend, JWT session management |
| Heavy analytical processing with custom calculations | Jupyter-based environment with pre-built notebooks | Containerized Python stack, pandas/NumPy processing engines |
| Integration with your existing CRM/ERP | API bridge and automated sync workflows | Custom middleware with webhook triggers |
User Experience Priority: Every interface emphasizes three actions—Find, Filter, Export. No training manuals required. If your team can use LinkedIn Advanced Search, they can use this.
2. Security Architecture & Data Protection
Your datasets represent significant investment and potential liability. Our security model assumes breach attempts are inevitable—we engineer to make them unsuccessful.
Infrastructure Layer:
- Zero-Trust Network Design: Server instances configured with firewall rules restricting access to your specified IP ranges only; SSH key authentication (no password exposure)
- Encryption at Rest: AES-256 encryption for stored data volumes; encryption keys managed through your cloud provider’s KMS (Key Management Service), never stored on our systems
- Encryption in Transit: TLS 1.3 for all data transmission; VPN tunnel options for highly sensitive datasets
- Automated Backup Protocols: Snapshot schedules (daily/weekly configurable) with cross-region replication for disaster recovery
Access Control Layer:
- Role-Based Access Control (RBAC): Define who sees what—an intern searches basic fields, directors access full financials, external consultants get time-limited, watermarked exports
- Audit Logging: Complete trail of who searched what, when, and what they exported—essential for compliance and internal oversight
- Session Management: Automatic timeout controls, concurrent session limits, immediate remote revocation capabilities
Data Integrity Layer:
- Input Validation: Prevents corruption from malformed queries or unexpected data entry
- Transaction Logging: Database-level journaling ensures no data loss even during system crashes
- Checksum Verification: Automated integrity checks detect file corruption or unauthorized tampering
Your Ownership Advantage: Because infrastructure resides under your accounts, you maintain full forensic capability. No third-party data processor agreements needed. No wondering who else has backend access.
3. The Handover: True Independence
We believe the best client relationship is one where you don’t need us—unless you want us.
Complete Knowledge Transfer:
- Administrator credentials and root access delivered via encrypted channels
- Technical documentation: system architecture diagrams, backup/restore procedures, troubleshooting runbooks
- User guides tailored to your team’s non-technical proficiency
- 60-minute video walkthrough recorded for future staff onboarding
No Lock-In Engineering: We use standard, open-source technologies wherever possible. If you later hire internal IT staff or engage another vendor, they can pick up exactly where we left off. No proprietary black boxes.
Use Case Scenarios
Scenario 1: The Acquired Database
Private equity firm purchases a 40GB global manufacturing database with 8M company records, 150+ fields per entity, seeking acquisition targets
Challenge: Previous owner delivered raw CSV splits that crash standard tools. Firm needs to screen by revenue range, geographic presence, and ownership structure—simultaneously.
Our Solution:
- Deployed PostgreSQL instance on firm’s AWS account (eu-west-1 for GDPR compliance)
- Built web interface with faceted search: sliders for revenue ranges, multi-select for SIC codes, boolean logic for ownership flags
- Pre-configured export templates: “Teaser profiles” (10 fields) for initial outreach, “Full diligence packs” (all fields) for shortlisted targets
- Added calculated field: “Estimated enterprise value” based on industry multiples applied to revenue data
Result: Screening process reduced from 3 weeks (manual Excel wrestling) to 4 hours. First-month support included adjusting valuation algorithms as firm refined their investment thesis.
Scenario 2: The Distributed Sales Intelligence
Medical device company buys 2GB hospital procurement contact database for 12 regional sales managers
Challenge: Needs simultaneous access across dispersed team, but IT department prohibits external cloud storage for compliance reasons.
Our Solution:
- Remote setup on company’s existing on-premise Windows Server (VPN access configured)
- FileMaker Pro solution with native iOS apps for tablet-based field access
- Automated sync when reps return to office WiFi; full functionality offline during hospital visits
- Built-in lead assignment workflow: managers distribute accounts, reps update status, dashboard tracks pipeline
Result: Zero new infrastructure costs. Compliance team approved on-premise architecture. First-month support added custom “competitive intelligence” note fields after reps requested better battlecard integration.
Scenario 3: The Multi-Dataset Integration
Market research agency acquires three separate databases: consumer sentiment (15GB), retail transaction logs (60GB), and demographic projections (8GB)
Challenge: Need unified querying across all three—e.g., “Show me high-sentiment consumers in declining retail categories within growing demographic segments”
Our Solution:
- Architected data warehouse structure with star schema optimization
- ETL pipelines (Extract, Transform, Load) standardizing disparate field formats and taxonomies
- Custom query builder allowing cross-database joins without SQL knowledge
- Automated aggregation engines for trend reporting and client deliverables
Result: Previously impossible analyses now execute in under 30 seconds. First-month support included building client-facing export templates branded for agency’s major accounts.
Scenario 4: The Compliance Archive
Legal firm purchases historical regulatory filing database (25GB) for litigation support
Challenge: Must maintain chain-of-custody documentation, restrict copy-paste functionality for junior staff, watermark all exports with user ID and timestamp
Our Solution:
- Air-gapped server deployment with no external internet access (except authorized update windows)
- Custom Windows application with disabled clipboard integration for standard users
- Forensic logging: every search term, every viewed record, every export action permanently logged with cryptographic integrity verification
- Dynamic watermarking: invisible forensic watermarks in exported PDFs identifying source user
Result: Passed third-party compliance audit. First-month support adjusted watermarking after firm negotiated specific requirements with opposing counsel.
Your First Month: Complete Support Included
We don’t disappear after handover. Your first 30 days include unlimited support at zero additional cost:
UI Refinement:
- Button placement not intuitive? We’ll move it.
- Need an additional filter field? Added.
- Export format missing a column? Corrected.
Logic Adjustments:
- Calculated fields need formula tweaks? Done.
- Search behavior not matching your mental model? Reconfigured.
- Workflow automation needs additional steps? Extended.
Performance Optimization:
- Query slowing down as you add data? Indexed.
- Interface lagging on older machines? Optimized.
- Need faster export for urgent deadline? Parallel processing implemented.
Training & Troubleshooting:
- New team member needs walkthrough? Scheduled.
- Unexpected error message? Diagnosed and resolved.
- Integration question with your other tools? Consulted.
The goal: By day 30, your workstation operates exactly as your team needs it—with no outstanding wishlist items.
Investment Structure
Project-Based Pricing: Fixed cost determined by dataset complexity, user count, and infrastructure requirements. No hourly billing surprises.
Infrastructure Costs: For server-based solutions, you pay cloud providers directly (typically $50-$400/month depending on scale)—we mark up nothing, we access nothing.
Ongoing Relationship: After the included first month, optional support retainers available for major enhancements, additional dataset integration, or periodic health checks. Most clients find they need us less than anticipated.
Technical Specifications
(For Your IT Team)
If your technical colleagues want details:
- Backend: Python 3.11+ (Flask/FastAPI), Node.js, or PHP Laravel depending on project requirements
- Databases: PostgreSQL 15+, MariaDB 10.6+, or SQLite 3.40+ with FTS5 full-text search
- Frontend: React 18+ or Vue 3+ for web; PyQt or Electron for desktop
- Containerization: Docker for consistent deployment; Kubernetes for high-availability multi-node setups
- Security: OWASP Top 10 compliance; regular dependency scanning; penetration testing available via third-party partners
But remember: your team never needs to touch any of this. We handle it. You use it.
Ready to Transform Static Data Into Active Intelligence?
Step 1: Share your dataset sample (NDA available) and describe your ideal workflowStep 2: Receive detailed proposal with architecture recommendation, timeline, and fixed investment
Step 3: We build remotely; you review via screen-share demonstrationsStep 4: Handover, training, and 30 days of unlimited refinement support