Build something new
- A product idea or business problem
- Designed and built end-to-end
- Deployed, documented, owned by you
- Interface, data, and integrations
Full-stack software
We connect existing toolsor build custom software.
We build web products and AI & data systems.
How we can work together
Improve an existing system
- Internal tools and custom workflows
- Integrations, data, automation
- Replace the spreadsheet-heavy parts
- Improve UI/UX
Work with your team
- A defined technical scope
- A feature or system we own
- Added engineering capacity on that scope
- In your repo, with your process
Selected work
Built for different software problems.
A few systems FloBitLab has designed and implemented. Each started from a specific product or operational constraint.
Sales operations software
A workspace that connects lead research, proposals, and client context, and turns meetings into tracked deadlines.
Operations workspaceCurrent stage- Lead researched
- Proposal drafted
- Deadlines tracked
- Lead research and CRM context
- Proposal and document prep
- Deadlines from meeting transcripts
- Calendar, briefings, and playbooks
Document intelligence
OCR and vision-language pipelines that turn scanned reports into searchable, structured knowledge.
Document pipelineProcessing- Scan ingested
- Text extracted
- Chunks indexed
- Self-hosted OCR on GPU
- Vision-language fallback
- Layout, tables, and images
- Chunking for retrieval
RAG and knowledge systems
Retrieval systems that answer from the company’s own documents, with sources attached.
Knowledge assistantQuery- Sources retrieved
- Passages ranked
- Answer cited
- Hybrid keyword and vector search
- Source-backed answers
- Legal, health, and internal corpora
- Evaluation before generation
Data extraction at scale
Pipelines that pull structured records from thousands of websites when the public data is messy.
Extraction runStatus- URLs filtered
- Pages crawled
- Records stored
- JavaScript-aware crawling
- Schema-enforced output
- Proxy and browser automation
- Vision fallback for blocked pages
Database analytics
Natural-language access to databases and documents, routed to SQL or retrieval as needed.
Analytics interfaceQuestion- Query classified
- SQL generated
- Result returned
- Questions over live tables
- Vector search over documents
- Supabase data layer
- Charted results
Voice agents
Phone and voice systems that handle bookings, questions, and multi-step conversations.
Voice sessionCall- Call answered
- Intent captured
- Booking confirmed
- Real-time speech on SIP
- Booking and reservation flows
- Dispatch system integration
- Mobile voice applications
Full-stack products
Shipped products with the interface, the data layer, and the AI or integrations they actually depend on.
Product buildRelease- Data model live
- Integrations connected
- Product shipped
- Next.js and TypeScript apps
- Mobile and desktop optimized
- Python services and APIs
- Connected to existing tools
Automations
Review-ready workflows that discover, enrich, and prepare work across your existing tools.
Automation runReview- Candidates discovered
- Records enriched
- Outreach prepared
- Lead research across web, Maps, and app listings
- Enrichment and duplicate removal
- Personalized outreach prepared for review
- Human approval before anything is sent
Win the Client. Keep the Context.
A founder-led sales and delivery team had the tools and still lost the thread. Lead research, client notes, past offers, and delivery knowledge sat in different places, so every follow-up and every proposal started by rebuilding context. We built one workspace that keeps that context connected and uses it to prepare the next piece of work.
Win the Client
Go from a name to a specific offer.
- Research and score a lead before outreach
- Keep notes, objections, and stage on one record
- Draft the outreach and the offer from that record
Deliver the Work
Start delivery without rebuilding the story.
- Carry the approved offer into client work
- Turn meeting recordings into dated commitments
- Build client briefs from saved client knowledge
The CRM holds the record. The work happens after.
The CRM record is the starting point. The system uses it to prepare the research, the outreach, the offer, and the first delivery.
Client record created
Research
Prospects are found, scored, and saved with the evidence behind the score.
Outreach
The first message is drafted from the notes already on the record.
Offer
Lead context and internal company knowledge become a personalized proposal.
First delivery
Work starts with the approved offer, client knowledge, and constraints in place.
Sales Operations Workspace
Built for a founder-led team running its own sales and client delivery: one workspace for lead research, CRM context, offers, deadlines, client briefs, and reusable internal knowledge.
Lead research
Prospects are researched, scored, and saved into the pipeline with their source.
Client context
Website, niche, contacts, notes, objections, and prior analysis sit on one record.
Offers and follow-ups
That record plus internal company knowledge produces a first draft, not a blank page.
Meetings into deadlines
A shared meeting link becomes dated commitments with owners, reviewed before they go live.
Deadlines and calendar
Opportunities from grant or conference pages sit beside synced calendar events, with briefings when something is due.
Reusable knowledge
Client briefs, delivery notes, and playbooks stay available for the next client.
Start from the real constraints. Build the system that fits them.
We look at the current tools, data, workflows, and team. Then we design and implement the software that should exist.
- 01
Frame the problem
Identify what needs to be built, what already works, and which constraint is worth solving first.
- 02
Design and build
Implement the application, data layer, integrations, and interfaces the work requires.
- 03
Deploy and hand over
Put the system into use, document it, and transfer the source code.
Led by Stefan Matić.
Stefan leads the technical work at FloBitLab, with experience across full-stack software, data systems, and AI. Projects start from the actual problem and run through design, implementation, deployment, documentation, and ownership.
- Technical leadership from discovery through delivery
- Clear scope, documentation, deployment, and ownership
- Work with a founder, an operations lead, or an existing engineering team
Start a conversation
Have a software problem or project in mind?
Tell us what you’re trying to build, improve, or automate. We can take on the complete build, a defined technical scope, or work with your existing team.