We build autonomous AI systems that run your business
Agents that plan, reason, and execute across your real systems — with guardrails, evaluation, and full run tracing. Not a chatbot pilot. Software that owns an outcome.
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Human gates
Built on the tools that hold up in production
What we build
Six ways we put agents to work
Each engagement starts from a process you already run, and ends with a system that runs it for you.
Agentic Systems
Autonomous agents that plan, reason, and execute multi-step work against your real systems.
Explore Agentic SystemsWorkflow Automation
End-to-end automation of the processes your team currently holds together by hand.
Explore Workflow AutomationAgentic RAG
Retrieval systems that reason over your private knowledge instead of guessing at it.
Explore Agentic RAGBusiness Automation
AI applied where it compounds — operations, customer support, and internal tooling.
Explore Business AutomationVoice & Conversational AI
Voice agents that answer, qualify, and resolve calls in real time — in your customers' language.
Explore Voice & Conversational AIDocument Intelligence
PDFs, scans, and forms turned into validated, structured data your systems can act on.
Explore Document IntelligenceWhy most AI projects stall
The gap isn't the model. It's everything around it.
Nearly every team we talk to has already run a pilot that impressed people and changed nothing. Here's what actually separates the two.
The pilot that stalled
What we ship
What it produces
Pilot: An answer. A person still does the work.
Talvix: An outcome. The work is done and recorded.
When it's wrong
Pilot: Fails fluently — a confident answer, no signal it missed.
Talvix: Detects thin evidence, retries, then escalates with context.
System access
Pilot: Read-only and sandboxed, so it can't finish anything.
Talvix: Scoped, permissioned writes to the systems that matter.
Why you trust it
Pilot: Because the demo went well.
Talvix: Because every step is traced and you can read the run.
Changing the prompt
Pilot: Ship it and find the regressions in production.
Talvix: Evaluation suite catches the regression before merge.
Who we build for
Industries where agents earn their keep
The pattern is the same everywhere: high volume, stable rules, and people stuck doing work a system could own. These are the sectors where we see it most.
Financial Services
High document volume, strict audit requirements, and customers who expect answers now.
- KYC and onboarding checks
- Reconciliation across ledgers
- Cited answers for support teams
Healthcare
Administrative load that pulls clinicians and staff away from patients.
- Referral and intake processing
- Appointment booking by voice
- Claims and prior-auth paperwork
E-commerce & Retail
Seasonal spikes in support and operations that hiring can never keep pace with.
- Order and returns handling
- Catalogue enrichment at scale
- First-line support resolution
Logistics & Operations
Exceptions, handoffs, and paperwork spread across systems that don't talk to each other.
- Shipment exception triage
- Bills of lading and customs docs
- Carrier and supplier follow-ups
Professional Services
Expert time spent searching, drafting, and formatting instead of advising.
- Research briefs from internal knowledge
- Contract and proposal first drafts
- Client intake and qualification
Public Sector
Large backlogs of applications and enquiries, with transparency as a hard requirement.
- Application and form processing
- Multilingual citizen enquiries
- Eligibility checks with a full audit trail
How we work
From process map to production in weeks
A deliberately short path to something running on real data — because the only reliable way to learn whether an agent works is to run it.
- 01
Discover
1–2 weeks
We map the process as it actually runs and agree the single metric this engagement moves. You get the assessment whether or not you continue with us.
- Process map
- Feasibility assessment
- Success metric & baseline
- 02
Design
1–2 weeks
Architecture, tool boundaries, guardrails, and the escalation path for cases the system should not decide alone. Reviewed with your team before a line of production code exists.
- System architecture
- Guardrail & escalation spec
- Evaluation plan
- 03
Build
4–8 weeks
Iterative delivery against the evaluation suite from day one. You see working software every week, running on real data in a staging environment.
- Production system
- Evaluation suite
- Full run tracing
- 04
Deploy & Scale
Ongoing
Phased rollout behind gradual traffic ramps, with monitoring on quality, latency, and cost per run. We hand over documentation and, if you want it, the codebase.
- Phased rollout
- Monitoring dashboards
- Handover & training
How we're accountable
Every engagement is measured, not asserted
Talvix is early, so we would rather show you exactly how we work than point at someone else's numbers. Case studies go here as soon as clients approve them.
A metric agreed up front
We capture your baseline before we build, and report against that same number after launch. If it does not move, that is visible to both of us.
Guardrails before autonomy
Every action an agent can take is scoped, logged, and reversible. High-consequence steps sit behind an approval gate you control.
Yours to keep
You get the codebase, the evaluation suite, and the documentation. No black box, and no dependency on us to keep it running.
Which process would you automate first?
Bring us one workflow that costs your team real hours. We'll tell you honestly whether an agent is the right tool for it — and what it would take to build.