Talopen brings proprietary accelerators for AI-assisted software delivery. Test impact analysis with per-test coverage attribution, dependency-aware risk scoring, and AI-assisted modernisation frameworks. Built as IP your team builds with, not a black box you depend on.
Frameworks and accelerators for AI-assisted delivery, test verification, and platform operations, built as IP your team builds with, not a black box you depend on.
Legacy-to-modern migration accelerated by AI-assisted code transformation frameworks, built around the same verification layer that proves the migrated code still does what the original did.
Where AI-assisted development will actually compress your delivery timeline, and where it will not. A prioritised accelerator roadmap sequenced by value and feasibility. Board-ready in 4–8 weeks.
Production-standard agents built around your codebase and delivery process, not generic coding assistants. Code review, PR triage, and refactor support with full observability.
Pre-engineered accelerators for .NET, Java, Node.js, and Python estates. Removes 60–80% of design and setup work on a new engagement. Customisation included.
Per-test coverage attribution, not a whole-run number. Every test linked to the code it exercised, automated and manual, so untested change is visible before release.
A dependency graph scores every method by fan-in and fan-out, so regression scope reflects structural criticality rather than a flat list of related tests.
Manual test sessions attributed to the same inventory as automated runs, so one coverage figure reflects everything your organisation actually does to test the product.
AI is used at exactly one step: matching new code to existing test cases. Everything else, including the risk model, is deterministic and inspectable.
The operational console for production AI agents. Observability, evaluation harnesses, cost analytics, policy enforcement, incident management, and lifecycle management, without hyperscaler complexity.
The control plane between your engineering teams and every AI model or coding assistant they use. Policy enforcement, data protection, model abstraction, identity and access, cost control. Deploy in days, not months.
Strategic alliances across cloud, AI infrastructure, and enterprise software. Access to enterprise-grade technology at preferential terms with direct vendor escalation paths.
A proven model for MSPs and regional IT partners to white-label Talopen's verification layer and accelerator IP. Keep your brand and clients, we provide the engine underneath.
Outcomes our clients can point to. Reference clients available for direct conversation. Case studies with quantified results, shared during procurement discussions.
Bounded, fixed-fee engagements that deliver tangible value in 4–8 weeks, removing the commitment barrier and earning the right to expand.
A structured assessment of your current test coverage, regression cost, and untested-change exposure, producing a prioritised accelerator roadmap with a board-ready report.
A governance framework for AI-generated code: review standards, risk classification of AI-authored changes, and an audit trail your engineering leadership can actually defend.
A targeted 6-week sprint identifying and implementing AI coding-assistant cost and performance improvements without disrupting delivery. 30–60% savings identified consistently across all audited deployments.
Structured AI capability building for technical and commercial teams. From foundational AI literacy to advanced agent development and governance. Certification pathways and cohort programmes available.
The operational console for every AI agent in production. Built for organisations that have moved beyond proof-of-concept and need production-grade tooling, without hyperscaler complexity or cost.
The control plane between your engineering teams and every AI model or coding assistant they use. Enforces policy, controls cost, and provides the central observability layer that makes AI adoption governable at scale.
Talopen operates across two markets: the United States and India, with named accountable contacts in every region backed by a globally distributed delivery model. You should never have to choose between the depth of a global firm and the responsiveness of a local one.
Named-account coverage across Atlanta, Charlotte, Austin, Nashville, Denver, Miami, Raleigh-Durham, and Dallas-Fort Worth. Deep local relationships and engineering-org relationships mapped per metro. 102 named target accounts. Home to our founding team.
Engineering delivery capability for India-based organisations and multinational clients operating across the subcontinent. Rapid AI-assisted development adoption across BFSI, IT services, and manufacturing sectors. A growing centre of gravity for accelerator-led delivery.
This is not an exhaustive industry list. It is the shape of the problem, wherever it shows up.
A legacy language, mainframe, or framework migration where AI-assisted transformation compresses the timeline, and the verification layer proves the migrated code still does what the original did.
An engineering org running full regression on every release because nobody can say with evidence which tests a change actually touches. Coverage attribution and risk scoring fix that.
Copilot, Cursor, or an internal coding assistant is already in every engineer's workflow, and nobody has a framework for reviewing, classifying, or auditing what AI actually wrote.
A BPO, KPO, or AMS provider managing delivery across multiple clients and applications, where TIER0 gives a single command view across every environment.
For decades, small and medium enterprises have been served last. Vendor pricing, product complexity, and consulting fees have locked the mid-market out of protections and productivity gains the Fortune 500 considers standard. Talopen exists to close that gap, with the rigour of an enterprise provider at the economics of a partner who actually understands your world.
Book a Discovery CallSelective regression is only trusted once a full-execution baseline exists for a repository. We say that plainly instead of promising day-one reduction.
AI is used at exactly one step: matching new code to test cases. The risk model, the coverage engine, and the dependency graph are all deterministic and auditable.
Every initial engagement is 4–8 weeks, fixed-fee, and produces a tangible deliverable. No open-ended retainers as the first ask.
Named accountable contacts in every region, backed by a globally distributed engineering delivery capability.
A build triggers coverage analysis. A risk score drives regression scope. Integration across the pillars is intentional, not incidental.
TIER0 transforms BPO, KPO, and Application Management Services operations from reactive ticket management into predictive, AI-governed intelligence. One command center, with every agent, workflow, and escalation under control.
AI classifies, prioritises, and routes every incoming ticket across channels in under 30 seconds. Priority assignment accuracy exceeds 94% across tested workloads.
Pattern recognition across historical incident data surfaces early warning signals before service impact. Proactive remediation workflows trigger automatically for known failure signatures.
Pre-defined playbooks execute automatically for classified incident types, such as connection resets, permission sync, and cache flush, without human touch for eligible events.
Single pane of glass across all managed environments. SLA compliance, MTTR trends, AI resolution rate, cost per ticket, all in real time with configurable alerting.
Root cause analysis generated automatically within 1 hour of incident resolution. Structured format aligned to client and audit requirements. Knowledge base updated automatically.
Native connectors for ServiceNow, Jira, Zendesk, PagerDuty, Datadog, Splunk, AWS CloudWatch, Azure Monitor, and 40+ additional tools. API-first for custom integrations.
A regional BPO handling 25,000+ tickets/month for 12 enterprise clients. TIER0 reduces manual triage from 45 minutes to under 2 minutes, and auto-resolves 38% of tickets without analyst touch.
A KPO firm managing data pipelines for financial clients. TIER0's predictive engine surfaces pipeline failures 4–6 hours before impact, reducing SLA breaches by 91%.
An AMS provider managing 18 production applications across healthcare, fintech, and manufacturing clients. TIER0 provides a unified command view with client-specific SLA tracking.
A 500-person fintech using TIER0 to manage internal IT operations. Reduces Level 1 support calls by 67% through AI-powered self-service and intelligent escalation routing.
| Capability | TIER0 ✦ | Sierra | Decagon | BigPanda | ServiceNow Now Assist | In-House Build |
|---|---|---|---|---|---|---|
| BPO/KPO/AMS-native design | ✓ Built-for | ✗ | ✗ | ~ Partial | ~ Partial | ~ If built |
| Predictive incident prevention | ✓ Core feature | ✗ | ✗ | ✓ | ~ Add-on | ✗ 12–18mo build |
| Auto-remediation playbooks | ✓ Included | ~ Limited | ✗ | ✓ | ~ Extra cost | ✗ |
| AI-generated RCA reports | ✓ Automated | ✓ | ✓ | ~ Basic | ~ Template only | ✗ |
| Multi-tenant client isolation | ✓ Core | ✗ | ✗ | ~ Enterprise tier | ✓ | ~ Complex |
| 40+ native integrations | ✓ Included | ~ 10–15 | ~ 5–8 | ✓ | ✓ | ✗ Build each |
| Security & compliance governance | ✓ Talopen-native | ~ Basic | ~ Basic | ~ Monitoring only | ✓ | ✗ |
| Time to value | Days–weeks | Weeks | Days | Months | 3–6 months | 12–24 months |
Request a live demo tailored to your BPO, KPO, or AMS environment. We'll show you the command center working with your real operational data structure.
Managed SaaS or dedicated cloud. Days to deploy, not months.
Transparent per-seat plus volume. No hidden enterprise licence fees.
Named Talopen engineer for every TIER0 deployment. 24/7 operational support included.
Talopen was founded by a team with deep roots in enterprise software engineering and AI-assisted delivery, built on one conviction: engineering organisations should not have to choose between shipping faster with AI and knowing what actually shipped.
We operate across the United States and India. We work alongside our clients as a genuine partner: accountable, named, and invested in long-term outcomes rather than project cycles.
"The SME segment is no longer a market to be patronised. It is the engine of every economy we operate in. We treat it that way, and we build every service we offer around that belief."
Every client engagement starts with a 20-minute discovery call. Tell us what you are shipping and how, and we will tell you exactly which accelerator applies, and what you will receive at the end of it.