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Capability · Agentic AI & Workflows

Agents That Run Operations, Not Demos

Planning, tool use, and policy checks with a human approval gate where it matters - deployed on operations that used to be someone's full-time job. Every step traced and replayable.

Trusted by 100+ founders

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Stitch logo
ChargeZone logo
Resonately logo
Yareta logo
TerraFlow logo
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Razorpay logo
MonkSpaces.Ai logo
Alto Neuroscience logo
Bantor logo
QuantWheel logo
Boxsy logo
Team workload automated where our agents run operations
60%

Team workload automated where our agents run operations

Autonomous operations running in production
24/7

Autonomous operations running in production

Agent actions traced, logged, and replayable
100%

Agent actions traced, logged, and replayable

The Loop

Plan, Act, Verify - On Repeat

Autonomy below policy limits, human approval above them. The loop keeps state, so long-running work survives failures.

EVENTemail · webhook · cronPLANNERLLM · structured planTOOLScrm · calendar · emailVERIFIERpolicy · limitsACTexecute · notifyOBSERVE · UPDATE STATE · NEXT STEPSTATE · MEMORYHUMAN APPROVALabove policy limitsEVERY STEP TRACED

How We Build It

The Parts That Make It Work

Agents fail as distributed systems before they fail as AI. We engineer both.

  • 01

    Planning & Tool Use

    Structured plans, typed tool schemas, and function calling that survives contact with messy real-world APIs.

  • 02

    State & Memory

    Durable run state, conversation memory, and idempotent steps - an agent that crashes mid-run resumes, not repeats.

  • 03

    Reliability Engineering

    Retries, timeouts, compensation on failure. Agent workflows are distributed systems - we build them like it.

  • 04

    Agent Evals

    Trajectory-level evals and success-rate harnesses in CI. A prompt change that breaks task completion never ships.

  • 05

    Human-in-the-Loop

    Policy-gated approvals: agents act autonomously below limits, queue for a human above them.

  • 06

    Observability

    Every step traced - inputs, tool calls, decisions. When an agent misbehaves, you can see exactly why.

Deployed With

LangGraphTemporalLangSmithLangFuseClaudeGPT-5RedisPostgres

The Team Behind It

You Get Engineers, Not Tickets

100+ full-time product people - engineers, designers, PMs, and QA - led by founders who've built, scaled and exited their own startups. Senior people are on your product from day 1, working your hours. This is the same team whose agents run leasing operations end-to-end.

Meet the team
Rahul Nair

Rahul Nair

Co-Founder & Head of Engineering

Architect behind every AI system we ship to production.

Akshit BhatiHarsh KalwaniDrishti ShahSachin SoniNenaram ChoudharyParul Gandhi+100

Full-time team · 0 freelancers · US-hours overlap

Testimonials

Founders on Working With Tequity

Pre-Seed to Series B

“We hired Tequity shortly after closing our pre-seed, and since then they've completely taken over our frontend and DevOps work. Typical turnaround is 1 day for critical bug fixes, 7 days for new features, and 6 weeks for entire MVPs. The software we built together is now used by multiple leading American biopharma companies. I recommend Tequity for any startup from angel round through Series B and beyond.”
Dan Freeman

Dan Freeman

Founder & CTO, TerraFlow

“The best outsourced engineering help you can get. Genuinely talented engineers who deliver on time, take full ownership of the product, and push back on your ideas until they understand why you're building each thing.”
Kasey Boyle

Kasey Boyle

Founder, Bantor

4.9/5

Average rating across 100+ customers over 4 years

“They helped us audit our product, identify key UX/UI improvement opportunities, and prioritize quick wins that delivered immediate value. The team has been responsive, collaborative, and consistently delivers high-quality work.”
Elisabeth Bykoff

Elisabeth Bykoff

Founder & CEO, Boxsy

The work behind the words.

See all case studies →
Ivan Orehovec

Ivan Orehovec

Co-Founder, QuantWheel

“We came in expecting a redesign and got something more useful. Design Labs built us a design system our AI could actually build against, so what we ship stays consistent without us having to think about it. We'd give feedback and see it reflected in the next round, often the same day.”

LET'S TALK

Have Work an Agent Should Be Doing?

Book a 30-minute call. We'll map the workflow, the tools, and where the human gates belong.