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Hire Quickly
Contract talent matched to your stack and skill requirements. Whether you need a voice AI specialist, a healthcare designer, or a backend engineer who knows your codebase - we find them and embed them fast.
Company Stage · PMF
You've found product-market fit. You have customers, revenue, and a roadmap ahead of you. At this stage, you need flexible capacity - engineers, designers, and PMs who work like in-house hires but ramp up in weeks, not months.
Trusted by 100+ founders

Works Best For
You have product-market fit. You have an in-house leadership team. Now you need extra bandwidth to maintain existing systems while your core team builds new product lines - or you need specialist talent in voice AI, healthcare design, or another niche skill set.
Typical fit: $5M+ ARR, 1,000+ DAU B2B or 100,000+ DAU B2C, usually backed by $10M+ in funding.
What We Deliver
Hiring takes 3-to-6 months. Ramping up takes another 3. By the time your new hire is productive, your roadmap has shifted. We embed whatever you need on contract - a single engineer, a specialist consultant, a compliance lead, or a whole pod for a new product line - working inside your systems, reporting to your managers, shipping like in-house hires.
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Contract talent matched to your stack and skill requirements. Whether you need a voice AI specialist, a healthcare designer, or a backend engineer who knows your codebase - we find them and embed them fast.
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Teams that fit how you work. They use your tools, follow your processes, and integrate into your standups, retros, and planning sessions from week one.
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They report to your managers, work inside your Slack, Jira, and Figma, and function as in-house team members. The only difference is the contract.
Process
From first call to embedded hire in weeks, not months.
We hear your product goals, understand your roadmap, and identify the skill sets needed to execute.
You interview proposed candidates, review their backgrounds, and validate if they're the right fit for your team and culture.
Knowledge transfer, repo access, Jira, Slack - the embedded team gets integrated into your systems and joins your standups, planning, and reporting lines.
Daily standups and weekly syncs with your leads. Monthly and quarterly reviews with Tequity management to keep everything running smoothly.
Engagement Details
Timeline
6 months - multi-year
Investment
From $3K/month per hire
Team
Engineers, Designers, PMs, AI specialists
Testimonials
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.”
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.”

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.”

Founder & CEO, Boxsy
The work behind the words.
See all case studies →
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.”
From the Blog
Business
The build-vs-hire decision is one of the most consequential choices for early-stage startups. Here's our framework.
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Co-Founder & Director
Business
AI engineering is a new discipline. The standard software engineering interview process doesn't find the best candidates.
Deepak Bhagya
Co-Founder & Head of Delivery
AI Engineering
LLM costs compound fast. Here are the techniques we use to reduce inference costs without degrading quality.
Rahul Nair
Co-Founder & Head of Engineering
LET'S TALK
Book a 30-minute discovery call. We'll discuss your team needs, your roadmap, and how we can embed the right talent fast.