We build focused software products that bring AI into real work.
Codewire develops in-house products for customer operations, public data, industrial optimization, and communication workflows. Each product starts from a specific workflow and ends in measurable operational value.
Apps
BUILT IN-HOUSEFour in-house products for four clear jobs: AI customer conversations, Diavgeia decision monitoring, nesting optimization for production, and reliable press release delivery.
A platform for AI voice agents and chatbots trained on your business knowledge and connected to the tools your team already uses.
For teams handling support, bookings, inbound leads, or phone-based workflows.
- Training on documents, FAQs, and business knowledge
- Voice and chat deployments with SIP, CRM, and calendar integrations
- Workflows for routing, bookings, lead qualification, and follow-ups
For businesses, PR teams, and organizations sending press releases at scale and needing serious deliverability.
A press-release sending service with 99.9% guaranteed deliverability, detailed statistics, and infrastructure that removes the burden from personal or corporate inboxes.
For businesses, consultants, and public-sector teams tracking decisions, contracts, and organizational activity.
A monitoring platform for Diavgeia decisions and contracts. Search with rich filters, create watchlists, receive email alerts, and view statistics and KPIs by organization or company.
For fabrication shops, metal cutting teams, and manufacturers running CNC, laser, or plasma machines.
The first nesting tool that actually uses AI — not just algorithms. DeepNesting analyzes your DXF geometry, recognizes part types, recommends the optimal nesting strategy, and learns from every job. Upload parts, define your sheets and materials, auto-nest with one click, and export production-ready layouts in DXF, SVG, PDF, or G-Code. Cloud-native, zero installation, accessible from any browser.
WHY THEY WORK
Each product serves a different audience and solves a different problem. What they share is fast adoption inside the workflow and a clear practical outcome.
Customer automation
Key elements
Dialogon
From bot demo to real customer workflow
Dialogon does not stop at answering. It moves into call flows, routing, bookings, and operational automations that touch the customer directly.
- Upload knowledge and documents without heavy setup
- Drag-and-drop workflow builder for complex flows
- Direct SIP integration and connection to existing systems
DiavgeiaPlus
Diavgeia becomes a monitoring workflow, not wasted time
Instead of manually checking decisions and contracts, you define rules, filters, and alerts so relevant activity comes to you, with clearer visibility through statistics and KPIs by organization or company.
- Rich filters for organization, contractor, amount, and date
- Watchlists for recurring monitoring
- Daily or weekly alerts, KPIs, and exports for analysis
Data refresh
Key elements
Material savings
Key elements
DeepNesting
Less waste before production even starts
DeepNesting targets a very clear manufacturing outcome: better nesting, less material waste, and a faster path from DXF to CNC-ready output.
- Smart DXF recognition and issue detection before the cut
- AI strategy recommendation before production
- Exports for DXF, SVG, PDF, and G-Code workflows
PressWire
PR distribution with deliverability, metrics, and clean infrastructure
PressWire is built around a very practical pain point: getting press releases to the recipient reliably, without fragile inbox hacks and without fuzzy reporting.
- High deliverability for press-release sending
- Measurable statistics for every campaign
- Reliable infrastructure and support for professional use
Deliverability
Key elements
Tech Stack
HOW WE WORK
How we design and build software
As a software house, we start from the problem, structure the workflow properly, and build software that can hold up in production.
Understanding the workflow
We start from how the team works and where time gets lost, not from feature wishlists with no priorities.
Problem before feature
Clear product and UX
We organize complex data and messy operations into interfaces users can understand quickly.
Clarity before complexity
AI where it matters
We use LLMs, voice pipelines, and data systems only where there is real business payoff.
Practical AI
Fast, durable iteration
We move fast on version one, but with architecture that can grow into a serious product.
Version one that lasts