Illustration: figures of light assembling a structure

Track record

Shipped to production, not left in a deck.

Bravo was formed in 2026 to bring this operating and engineering experience under one roof. The engagements below were delivered by Elegant Software Solutions, the engineering firm our CTO founded in 2007 and is now closing in favor of Bravo. Each is credited to the firm that did the work.

How the work is proven

Three kinds of evidence.

How the code was built, how releases were evidenced for auditors, and how the teams are run. Clients are named only where they are already named on this site.

  • Climb Analytics, a Bravo affiliate

    AI application delivery

    AI agent teams generated the custom application code behind the Climb Analytics platform. Our CTO directed the work and set the architecture, the data contracts and the security model.

    • Metric definitions record the formula and source fields behind each number
    • Tenant-scoped data and role-based access
    • Controlled releases, with deployment records and recorded tests

    Custom application code only; vendor products and frameworks are excluded. Delivered by Elegant Software Solutions for Climb Analytics.

  • A national telecom logistics company

    Audit-ready delivery

    Our CTO's team has supplied the change-control and release evidence for a client's recurring enterprise audits, showing auditors how each change reached production and who approved it.

    • Documented change procedures and revision history
    • Production changes traced to approvals and QA results
    • Deployment and promotion records

    Delivered by Elegant Software Solutions under Tom Hundley's leadership.

  • The operating method

    The operating model

    Human-led AI teams. A senior engineer gives each team its outcome and direction, specialist agents do the work, and a separate reviewer challenges the exact result before anyone calls it done.

    • A daily standup against the actual work
    • Independent QA on every release
    • Recorded decisions and acceptance evidence
    The working cadence

    The same model our CTO uses to run his own firm every day.

B2B sales operations

A conversational quote builder for the sales team

Sales reps paste a loose customer email, or describe what the customer wants in plain English, and get back a complete, structured quote. The agent is memory-backed and audit-logged, so it improves with use and leaders can see which inputs produced which quotes.

What was built

  • Conversational quote agent
  • Catalog and pricing resolution
  • CRM and ERP integration
  • Audit-logged generation

Outcomes

  • Quote turnaround went from hours to minutes
  • Forwarded emails and voice-note transcripts became usable quote inputs
  • Sales leadership can audit and tune the agent
How it works
  1. Loose email or voice note
  2. Conversational quote agent
  3. Catalog and pricing lookup
  4. Structured quote for review
  5. Audit trail for leadership
Client
MDSi
Delivered by
Elegant Software Solutions
Stack
LLM agentsPersistent memoryDynamics 365

Autonomous engineering

An agent pipeline that fixes production bugs end to end

A production exception triggers an agent pipeline that researches the bug, writes a failing test, fixes the code through three different AI models in adversarial review, ships the patch, records the lesson in a knowledge graph and notifies the customer.

What was built

  • Ten-stage exception-to-notification pipeline
  • Three-model adversarial review gate
  • Knowledge graph of every fix

Outcomes

  • For the class of bugs it handles, time from exception to customer notification fell from days to minutes
  • At least two of three models must approve before a fix ships
  • Regression tests are written before the fix and stay in the suite
How it works
  1. Production exception
  2. Agent researches the bug
  3. Failing test written first
  4. Three-model review
  5. Fix shipped, customer notified
Client
MDSi
Delivered by
Elegant Software Solutions
Stack
ClaudeGPT / CodexNeo4jGitHub ActionsJiraConfluenceRollbar

Home services analytics

Call-center coaching analytics for pest control operators

An operations analytics platform that turns customer calls and texts into coaching signal for technicians and customer-service reps, with card numbers redacted automatically before any transcript is analyzed. Anthem Pest Control was the lead customer.

What was built

  • Call and text transcription with PCI/PAN redaction
  • Coaching analysis for CSRs and technicians
  • Incident reconstruction across calls, texts and dispatch

Outcomes

  • Managers get coaching signal without listening to every call
  • Card-number redaction is automatic and audited
  • A customer complaint's full call, text and dispatch trail is available in seconds
  • Roadmap shaped by a working operator's real problems
How it works
  1. Calls and texts from Podium
  2. Card numbers redacted
  3. Transcription
  4. Coaching analysis
  5. Coaching for reps and technicians
Client
Climb Analytics with Anthem Pest Control
Delivered by
Elegant Software Solutions for Climb Analytics
Stack
Next.jsTypeScriptAssemblyAIPodium APIVercelSentryPlaywright

Wholesale distribution

Ordering, warehouse and delivery platform for a wholesale distributor

A mission-critical platform for a wholesale distribution company with about $1 billion in revenue: more than 70 applications spanning offline-first mobile ordering, IBM iSeries (AS/400) integration, warehouse operations dashboards, delivery logistics with GPS tracking and more than 20 reporting applications.

What was built

  • Offline-first mobile ordering with queue-based sync
  • Bidirectional sync with the IBM iSeries (AS/400)
  • Warehouse dashboards, picker productivity and GPS delivery tracking

Outcomes

  • Became the company's primary ordering system, with fault-tolerant sync
  • Bridged the legacy AS/400 with a modern mobile and cloud stack
How it works
  1. Sales rep orders, even offline
  2. Queue-based sync
  3. IBM iSeries (AS/400)
  4. Warehouse operations
  5. Delivery with GPS tracking
Client
A wholesale distribution company
Delivered by
Elegant Software Solutions
Stack
TypeScriptNode.jsReact NativeIBM DB2 (AS/400)FirebaseRabbitMQC#

Restaurants · Data

Point-of-sale data extraction for an enterprise BI team

Elegant Software Solutions delivered a point-of-sale data extraction system for the restaurant chain's enterprise business-intelligence team in 2022, feeding sales and operations analytics.

What was built

  • Point-of-sale integration
  • Extraction and transformation pipelines
  • Delivery into the BI team's SQL Server environment

Outcomes

  • Sales and operations analytics fed from point-of-sale data
  • Delivered to the enterprise business-intelligence team in 2022
How it works
  1. Restaurant point of sale
  2. Extraction services
  3. Azure Data Factory pipelines
  4. SQL Server
  5. Enterprise BI
Client
Church's Texas Chicken
Delivered by
Elegant Software Solutions
Stack
C#.NETSQL ServerREST APIsAzure Data Factory

Telecom logistics

Multi-flow integration platform with a major US telecom carrier

An integration platform between MDSi and a major US carrier covering purchase orders, transfer orders, ownership changes, inventory and supply forecasts. Each business flow follows one canonical pipeline pattern, and every environment is defined in Terraform.

What was built

  • Eleven documented business flows
  • A repeatable seven-step pipeline pattern
  • Machine-to-machine authentication and monitoring

Outcomes

  • Production outbound went live on the carrier's production tier in April 2026
  • New flows onboard by copying the pattern, not re-debating architecture
  • Configuration drift is prevented because Terraform is the source of truth
  • Operational runbooks captured as agent-callable skills
How it works
  1. Business flow triggered
  2. Canonical seven-step pipeline
  3. Azure Functions and Service Bus
  4. Machine-to-machine auth
  5. Carrier production tier
Client
MDSi
Delivered by
Elegant Software Solutions
Stack
Azure FunctionsC# / .NETService BusAuth0TerraformDynamics 365

Telecom logistics · EDI

Trading-partner EDI platform rebuilt with no data loss

A production X12 EDI platform between a Fortune 100 telecom buyer and MDSi's Dynamics 365 ERP, processing five document types across two production environments. Hosting was rebuilt with Terraform and Azure Functions in a single iteration.

What was built

  • Terraform-managed DEV, UAT and production
  • Automated health and partner-connectivity checks
  • Hostname, TLS and ingress rules in code

Outcomes

  • Rebuilt with no data loss
  • Partner-facing 503 errors eliminated
  • Production rebuilt in parked mode, so cut-over timing stayed a business decision
How it works
  1. Fortune 100 buyer
  2. X12 documents over AS2
  3. Azure Functions platform
  4. Dynamics 365 ERP
  5. Health and connectivity checks
Client
MDSi
Delivered by
Elegant Software Solutions
Stack
.NETAzure FunctionsX12 EDI / AS2Dynamics 365TerraformAzure Key Vault

Nonprofit retail · Data

An audited data platform for a large nonprofit retailer

An Azure data platform that moved data flow between operational systems and the data lake off ad-hoc scripts, with scheduled migrations and exports, retries, dead-lettering and observability, and SharePoint data made queryable like any other source.

What was built

  • Data lake exports and migration tooling
  • Notification fan-out
  • SharePoint extraction

Outcomes

  • Data flow moved onto an audited, monitored platform
  • Migrations and exports run on schedule with retry and dead-lettering
  • It served as the integration backbone until the client's internal team took it over
How it works
  1. Operational systems and SharePoint
  2. Scheduled Azure Functions
  3. Retry and dead-lettering
  4. Data lake
  5. Monitored exports
Client
Goodwill
Delivered by
Elegant Software Solutions
Stack
Azure FunctionsC# / .NETAzure SQLSharePoint APISecured VNet

In the interest of full disclosure: four of these engagements are for MDSi, whose development ESS has run since 2015 and where our CTO has held CTO-level responsibility since 2017; one is for Climb Analytics, a More Gain Capital division whose lead customer was Anthem Pest Control, the company our CEO co-founded. The wholesale distribution engagement is an arm’s-length client, described rather than named; Church’s Texas Chicken, also arm’s-length, is named with Tom’s approval; the nonprofit engagement, for Goodwill, is named as Elegant Software Solutions publishes it. Details are drawn from case studies and project records published by Elegant Software Solutions and its founder. End customers of the clients are described, not named. Outcomes are as reported by the delivery team; we do not publish estimated savings.

Before Bravo

Enterprise-class engineering, for companies like these.

Bravo is a new company. The engineering behind it is not. Over 25 years, our CTO and the firm he founded have built software for these companies, or connected their clients’ systems to them.

Telecom and logistics

Integrations connecting MDSi, which Tom has worked with since 2005, to its carriers, shippers and distributors.

  • AT&T
  • Comcast
  • Cox Communications
  • Segra
  • UPS
  • FedEx
  • ScanSource
  • MDSi

Consumer and retail brands

Web platforms, retail systems and data platforms for national brands.

  • Coca-Cola
  • NAPA
  • RaceTrac
  • Kimberly-Clark
  • Church's Texas Chicken
  • Simon & Schuster

Industry, government and nonprofit

Operations, finance, public-sector and modernization systems.

  • Georgia-Pacific
  • Georgia Department of Revenue
  • Goodwill
  • MCI WorldCom

Work delivered by our CTO, Tom Hundley, through Elegant Software Solutions and in roles at MCI WorldCom, Magenic, Internal Data Resources, Bridgeline Digital, Sagepath and Koch Industries. These companies are not Bravo clients, and naming them implies no endorsement of Bravo.

Want to talk to the people who built these?

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