AI assisted software delivery

trusted by business leaders

Proven delivery processes that combine AI-powered specialists, reusable integrations, and expert oversight to accelerate software delivery while maintaining governance and control.

AI pair-programming
Human review
Architectural oversight
Automated testing and quality gates
Security-first development practices

2.5×

Faster delivery

60%+

Less custom integration effort

100+

Common systems and APIs mapped

4+

Domains with ready-to-use reusable code

Expert consultations to help you:

Elevate your product development

Ideation and roadmaps
Accelerated development
Delivery & maintenance

Embrace artificial intelligence

AI Agents
AI Solutions
Generative AI
NLP

Harness the power of data analytics

Data Visualization
Data transformation
Business intelligence

Journey to the cloud

Cloud modernization & migration
DevOps implementation & audit
Managed cloud infrastructure

HOW WE BUILD YOUR SOFTWARE

01

Agentic software development

AI-powered planning, development, testing and deployment that accelerates software delivery.

Your Apps

Legacy, cloud and on-premise systems connected through a unified architecture.

02

Integration
Layer

MCP servers, APIs and connectors that unify systems, workflows and data.

Agentic software delivery process

AI accelerated, human reviewed delivery.

Agentic software delivery with AI speed and human judgment at every critical step.

Requirements
Translates your ideas into clear requirements
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GitLab · Issue tracking
VS Code · Spec editing
Docker · Environment context
Notion AI Linear AI Confluence AI Copilot
Architecture
Designs systems that scale with your business
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AWS · Cloud infrastructure
Kubernetes · Orchestration
Azure · Cloud services
AWS Bedrock Azure OpenAI Eraser AI Diagram GPT
Code & Review
Writes clean, maintainable production code
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GitHub · Version control
React · UI framework
Python · Backend logic
Copilot Cursor Claude Code Tabnine
Quality Assurance
Checks core workflows before release
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Selenium · Browser automation
Jira · Bug tracking
Postman · API testing
Testim Mabl Diffblue Postbot
Deployment
Manages pipelines, infra, and deployments
Powered by
Docker · Containerization
Jenkins · Pipelines
GitHub Actions · CI/CD
Harness AI Copilot Azure Ansible AI Pulumi AI
Observability
Monitors your system and optimises over time
Powered by
Datadog · Metrics & APM
Grafana · Dashboards
PagerDuty · Alerting
Datadog AI New Relic AI Dynatrace Elastic AIOps
Traditional delivery
Linear delivery cycles
Requirements, design, engineering, QA, and release wait on each other.
Point-to-point integrations
Every new connection becomes a custom project with its own maintenance burden.
Automation added late
Tools layered on top of workflows that never change underneath.
Governance handled separately
Compliance and approvals checked after the build is underway.
Context scattered across teams
Decisions and integration details are hard to reuse on the next build.
AI accelerated delivery
Parallel delivery workstreams
Requirements, engineering, QA, and release move together — with human review at the handoffs.
Reusable integration patterns
We avoid one-off connectors and document patterns your team owns after launch.
Automation where it helps
Agents handle repeatable work; engineers review architecture & edge cases.
Governance built into delivery
Compliance, audits, and approvals are part of the build plan — not a late scramble.
Knowledge captured as we go
Decisions, patterns, and architectural choices documented so future teams reuse them.

Governance, compliance & human oversight

Engagements run with traceable artifacts, approval points, and human review at critical stages, so you stay close to what is being built.

Policy & controls

Policy & standards enforcement

Coding standards, security policies & best practices

Role-based access control

Fine-grained permissions across teams & repos

Audit trails & traceability

End-to-end from requirements to production

Compliance frameworks

SOC 2 ISO 27001 GDPR HIPAA HITRUST
Human-in-the-loop

Review & approvals

Human approvals for designs, code & releases

Manual interpretation

AI summaries with human context for accuracy

Exception handling

Escalate edge cases to the right experts

Knowledge capture

Capture insights & decisions for future automation

Faster Integration

One protocol, endless connections.

Our integration layer uses MCP-based patterns to connect any existing legacy or cloud platforms, databases, APIs, and internal tools with fewer one-off connectors and clearer governance. No more time wasted developing custom integrations tools.

Workflows we can automate
Customer Support
Conversational AI
Sales Assistant
Revenue operations
Finance Agent
Financial workflows
Clinical Insights
Healthcare AI
Ops Agent
Operations automation
+ and more
Integration Layer
One protocol. Endless data connections.
Tool Registry
Discover & manage tools across agents
Context Management
Maintain context across agents & systems
Security & Auth
OAuth, API keys, scopes, permissions
Request Router
Route to the right integration & tool
Response Normalizer
Standardize responses for all agents
Systems we commonly connect
Healthcare
Epic Cerner HL7 / FHIR Athena
CRM & Sales
Salesforce HubSpot MS Dynamics
Finance & ERP
QuickBooks SAP Oracle
Education
Canvas LMS Ellucian Banner SIS
Cloud & Infrastructure
AWS Azure Google Cloud
+ any REST, GraphQL, or SOAP API

Interoperable

We connect to the systems your team already depends on.

Reusable

Common integration paths can be reused across products and teams.

Secure

All connections are secured, audited, and governed by design.

Extensible

New systems can be added without reworking the whole architecture.

Always in the loop

Human oversight at every stage.

Our process is design to ensure nothing gets deployed without human review. Engineers review what agents produce. Architecture, access, compliance, releases – nothing ships without a person signing off.

01
Architecture decisions
A principal engineer signs off on system design before code is written.
02
Access approvals
Every credential, token, and scope is reviewed before it touches your systems.
03
Compliance checks
Audit, policy, and regulatory reviews are part of the build plan.
04
Release sign-off
Engineers review every diff and approve every rollout to production.