Engineering Certainty.
Modernize your stack. Make your system AI ready.
Connect the systems and data your people and agents need to sell, serve and operate.
We migrate legacy applications, build governed data foundations and implement AI workflows with automated defenses. Senior engineers carry the work through to production.
Implementation pattern / illustrative
The path to a useful AI workflow
- Legacy application
- Core platform
- Data estate
01 / Modernize
Move the blocked capability.
Map dependencies. Migrate or connect the application and its first consumer. Reconcile records and business behavior.
02 / Connect
Make the right context available.
Expose governed APIs and data products. Resolve identity, relationships, permissions and source evidence.
03 / Enable
Give people and agents a working path.
Build the workflow, tools and application experience. Test the result, action authority and exception handling.
04 / Defend
Keep the new workflow operable.
Monitor identities, tools and runtime behavior. Exercise authorized containment, recovery and handover.
Connected employees. Agents that can finish the job.
Scoped access · Source evidence · Recovery
- Toronto, Canada
- Senior engineering
- Direct ownership
- Meet the experience behind Jextra
Implementation is the work
Build the foundation. Unlock the workflow.
Each engagement starts with a useful capability. The migration, data, application and operating controls follow from what it needs to do.
- 01
Modernization and integration
Move the capability your current systems are holding back.
Explore the implementation - 02
Data engineering and knowledge
Give your teams and agents context they can use.
Explore the implementation - 03
AI workflows and agent tools
Connect AI to the work your team needs to finish.
Explore the implementation - 04
Software and internal applications
Build the application around the job people do.
Explore the implementation - 05
Cloud and platform engineering
Give the next system a platform your team can run.
Explore the implementation - 06
Automated defenses and reliability
Control access and give the response an owner.
Explore the implementation
Selected experience
Application migrations. Data infrastructure.
Anonymized examples of migration and infrastructure contributions, with the implementation scope made clear.
- Migration experience
A commerce platform moved beyond its legacy stack.
Contributed to a legacy commerce-platform migration to a modern web and content stack, including customer configuration tools and application APIs. Customer sites transitioned before a legacy support deadline.
- Application migration
- Content platforms
- Configuration tooling
- APIs
Anonymized previous engagement · Commerce technology
- Open-source engineering
Data infrastructure with observability built in.
Published engineering contributions across distributed-tracing integrations and data-access tooling. The work connects application behavior to the data and infrastructure it depends on.
- Distributed tracing
- Data access
- Event-driven systems
- Streaming data
Anonymized contributor experience · Public infrastructure software
Industries
Built around the systems your business runs on.
The implementation starts with your industry’s data, operating rules and workflows. Explore a first wave that connects the foundation to the job.
- 01 / Insurance
Connect the insurance core to new business, policyholder service and claims integrity.
- New business and distribution
- Policyholder servicing
- Claims integrity
Illustrative insurance design
- 02 / Financial services
Put governed account context and traceable transactions behind client and finance workflows.
- Client and account servicing
- Onboarding and document operations
- Finance and transaction reconciliation
Published practice background
- 03 / Retail and commerce
Carry storefronts, configuration and order workflows across the migration, then enable useful AI.
- Order and customer service
- Storefront and content modernization
- Lifecycle marketing and retention
Anonymized project experience
- 04 / Software platforms
Connect data access, distributed systems and agent tools to reliable product delivery.
- Tenant-aware product agents
- Streaming and data infrastructure
- Platform reliability and agent defenses
Anonymized infrastructure contribution
A smaller first move
Faster feedback. Clearer acceptance.
Reduce time and uncertainty by making the first implementation boundary explicit. Expand after the capability works and its owner accepts it.
- Speed
- One capability and its first consumer. Find dependency failures while the change is still bounded.
- Risk
- Reconcile behavior and records. Rehearse cutover, rollback and restoration before retirement.
- Effort
- One implementation scope across code, data and tools, with named owners and operating handover.
From first scope to production
What could your team do with a connected stack?
Choose the workflow and the result. We’ll define the systems to change, the first implementation wave and the evidence needed to accept it.
Discuss your first implementation