tekvo
For small & mid-size companies · Agentic age

From the dinosaur age to the agentic age.

Tekvo builds complete AI ecosystems for small and mid-size companies — the agents, the data underneath, and the systems around them. Not a pilot, not a chatbot bolted onto old software. The whole operating layer, live in weeks.

40+
Companies modernized
20–500
Headcount we build for
3 wks
Pilot to production

Legacy workflow → agent network

Trusted by growing companies
  • inspirata
  • carbonhound
  • rise
  • mcan
  • finobuddy
  • tigertest
  • ecomlog
Capabilities

Five layers of an AI ecosystem

Enterprises buy all five separately and wait two years. We build them together, sized for a company of 20 to 500 people, and turn them on in weeks.

TekPod

You don't need an AI team. You need a TekPod.

A TekPod is Tekvo’s standing team for your company. Bring us the workflow: we stand up the GPU and cloud infrastructure in your account, build the agents for your use cases, and run the whole thing in production — one pod, one monthly price, no ML hires.

  • STAGE 01Weeks 1–2

    Foundation

    We stand up the infrastructure in your cloud account — sized to your workload, not an enterprise template.

    • GPU capacity, reserved or on-demand
    • Cloud landing zone + IaC
    • Model gateway and routing
    • Data pipelines and vector store
    • Security, SSO, audit logging
  • STAGE 02Weeks 3–8

    Implement

    We build the agents for your use cases on top of that foundation, one workflow at a time.

    • Workflow forensics and scoping
    • Agent orchestration and tools
    • Eval harness before release
    • Integration with your systems
    • Human-in-the-loop interfaces
  • STAGE 03Ongoing

    Run

    We operate the system in production — on-call, evals, upgrades, and cost control every month.

    • 24/7 monitoring and on-call
    • Monthly eval and drift reviews
    • Model upgrades and A/B testing
    • GPU and token cost tuning
    • New use cases on the same base

What you never have to do

  • Hire an ML platform team
  • Run a 9-month procurement cycle
  • Build a model gateway from scratch
  • Own the GPU capacity problem
  • Staff a 3am on-call rotation
  • Rebuild when the model changes

TekPod use cases running today

  • Support resolution
  • Invoice and AP processing
  • Quote generation
  • Inventory exceptions
  • Contract review
  • Field service triage
  • Lead qualification
  • Compliance checks

Your cloudYour data, your repo, your account. We operate it — you own it.

Architecture

The anatomy of an agent we'd put in production

  • Perception

    Normalized inputs from documents, events, APIs, and user intent — resolved into typed state before a model ever sees it.

    • Schema resolution
    • Intent routing
  • Planning

    Task decomposition with explicit budgets for steps, spend, and time. Loops terminate by design.

    • Planner
    • Budgets
    • Retry policy
  • Action

    Tools are contracts, not prompts: typed, permissioned, idempotent, and independently testable.

    • Typed tools
    • Idempotency
    • RBAC
  • Memory

    Short-term working state separated from durable organizational knowledge, with explicit forgetting rules.

    • Working state
    • Vector store
    • TTL
  • Judgement

    Every run scored against a golden set. Regressions block the deploy the same way a failing test does.

    • Golden sets
    • CI gates
    • Drift alerts
Outcomes

Selected work

All case studies ↗
Method

How an engagement runs

Fixed-length sprints, one accountable TekPod, working software at the end of every one. No discovery theatre.

Start a scoping call
  1. WK 0–2

    Scope and instrument

    We map the workflow, find where judgement actually happens, and baseline it. Nothing is automated before it is measured.

  2. WK 3–6

    Build the thin vertical

    One narrow path, end to end, in your infrastructure — with the eval harness written before the agent.

  3. WK 7–10

    Harden and widen

    Guardrails, escalation paths, cost controls, and the observability your on-call team needs at 3am.

  4. ONGOING

    Operate or hand over

    We run it with you, or train your team and leave. Both paths end with documentation you can act on.

In their words
Tekvo shipped an agent into our claims flow in seven weeks. The part nobody else offered was the evaluation harness — that's what got it past compliance.
VP EngineeringInsurance platform · Toronto
71%
Claims triaged without a human
7 wks
Pilot to production
0
Policy breaches in 14 months
4.9/5
Adjuster satisfaction

Still running the business on software from the dinosaur age?

Two-week scoping sprint, fixed fee, priced for a mid-size company. You keep the architecture either way.

Let's talk