Week 101
Discover
We map your workflows, find the highest-ROI agent, and define what “good” means as measurable evals — before writing a line of code.
- Opportunity map
- Success metrics
- Eval set v0
AI agent engineering
We build AI agents that do the work — they research, qualify leads, resolve tickets, reconcile books and ship code.
Wellrundigital designs, engineers and operates autonomous agents for teams that need outcomes — not demos. Evals, guardrails and observability ship on day one.
- 500+ systems shipped
- 98.4% on schedule
- 24/7 operations
Prototype in two weeks. Production in a quarter.
A delivery model tuned for agents: evaluate first, ship in small verified increments, and keep improving after launch.
Weeks 2–302
Prototype
A working agent on your real data and tools — not slides. You judge it against the eval baseline, and we iterate in the open.
- Working agent
- Eval baseline
- Unit-cost model
Weeks 4–1003
Harden
Guardrails, permissions, integrations, red-teaming and observability. Built to survive real users, real edge cases and real audits.
- Guardrails & RBAC
- Tracing & alerts
- Security review
Ongoing04
Operate
We run it with you: drift detection, continuous evals, model upgrades and SLOs. The agent gets measurably better every week.
- SLO dashboard
- Weekly eval reports
- Model upgrades
Five loops. Zero magic.
Reliable agents aren’t prompts — they’re systems. Here’s the loop we engineer, test and operate for every agent we ship.
- 01 / 05
Perceive
Agents read what your team reads — tickets, inboxes, CRMs, docs and databases — through secure connectors and MCP servers with scoped, auditable access.
mcp.connect("crm", scope="accounts:read") - 02 / 05
Plan
Goals become explicit plans: steps, tool choices, and a budget for cost and latency — reviewed against policy before anything runs.
plan.create(goal, budget={ usd: 0.60, ms: 40_000 }) - 03 / 05
Act
They call your APIs, write to your systems and operate browsers. Every action is a typed, permissioned function — logged and reversible.
tools.invoke("invoices.update", { id, status }) - 04 / 05
Remember
Long-term memory and retrieval tuned to your domain, so context compounds across runs instead of resetting every conversation.
memory.recall(entity="Acme", k=8, recency=0.3) - 05 / 05
Verify
Evals, guardrails and human checkpoints catch errors before customers do. Low confidence? The agent escalates with full context.
eval.score(run) → 0.97 ✓ handoff(if < 0.85)
Three systems. Compounding returns.
Productized agent platforms we run in production — deploy one as-is, or let us tailor it to your workflows and data.
01Autonomous workforce
Retrostar
Your AI workforce that never sleeps. Retrostar orchestrates research, outreach, operations and support — with human-grade judgment and machine-grade throughput.
- Throughput
- 10k tasks / day
- Integrations
- 200+ APIs & tools
- Memory
- Long-term + vector
- Deploy
- Cloud, VPC, on-prem
Deploy Retrostar ↗Live in 14 days · SLA-backed
● live10k tasks / day
02Revenue acceleration
Asmbot
Finds, qualifies and warms your pipeline while you close. Built for founders who need pipeline without adding headcount.
- Lead lift
- 3.4× average
- Channels
- Email, LinkedIn, X, TG
- Setup
- 48 hours
- Compliance
- CAN-SPAM · GDPR
Launch Asmbot ↗From $1.2k / mo · cancel anytime
● live3.4× average
03Venture-grade execution
Studio
From zero to Series A and beyond. We architect, design, ship and scale AI-native products — product, engineering and growth under one roof.
- Discovery
- 1 week · clickable prototype
- Build
- 6–12 weeks to market
- Scale
- Infra for 1M+ users
- Care
- Ongoing iteration & SLOs
Start a build ↗Fixed-price or dedicated team
● live1 week · clickable prototype
500+
Systems shipped
Agents, products and platforms in production
98.4%
Delivered on schedule
Measured against the plan we sign
~14k
Hours automated
For clients in the last 12 months
150+
Countries served
Remote-first, worldwide delivery
Most AI never leaves the demo. We take agents the rest of the way — reasoning over your data, acting through your tools, remembering what matters and escalating to people when it counts. Then we run them in production like it’s our own P&L.
Built like infrastructure. Not like a demo.
01 · quality
Evals before vibes
Every agent ships with a golden dataset and automated scoring. If quality drops, the deploy fails — not your customer.
02 · tracing
Observable by default
Every reasoning step, tool call, token and dollar is traced and searchable. No black boxes.
03 · security
Guardrails & data control
Scoped permissions, typed tool contracts and PII redaction — deployed in our cloud, your VPC or on-prem.
04 · oversight
Humans in the loop
When confidence is low, agents escalate with full context — and learn from every correction.
05 · routing
Model-agnostic
Claude, GPT, Gemini or open weights — routed per task on quality, latency and cost. Upgrade models without rewrites.
06 · economics
Cost-aware by design
Per-run budgets, caching and smart routing keep unit economics predictable as volume grows.
06 — Let’s build
Let’s put an agent to work.
Tell us the workflow that eats your team’s week. We’ll reply within 6 hours with a scope, a timeline and a fixed price. No decks — just execution.