AI features for funded SaaS. Ship in 6 weeks. Production-grade.
We build AI features into your product, starting with a paid proof of concept. We add senior engineers on 30-day terms and clear tech debt. US LLC. No six-month minimums.
Last updated September 2026
0+
SaaS products shipped
0 to 8 weeks
first AI feature live
0x
avg velocity lift
0x
cheaper than US headcount
The problem
The product is not the problem. The problem is engineering capacity.
Competitors ship AI. You do not.
The AI feature has sat on your roadmap for two quarters. Nobody on the team has shipped one. An ML hire takes 6 months and $200K.
Velocity dropped as you scaled
Code that worked at 500 users hurts at 50,000. Each sprint ships less. Customers wait.
Hiring is slow
The senior role has been open three months. Good candidates ghost. Every empty week costs roadmap.
Tech debt owns the roadmap
A third of every sprint goes to bugs that come back. The team fights the codebase instead of building.
The AI feature flopped in production
You shipped something. It hallucinated. No evals, no guardrails, no grounding. It got turned off.
Buyers check your AI story before the demo
In 2026 prospects ask G2, ChatGPT and Perplexity what your product does with AI. If the answer is nothing, or your docs do not say, you lose the shortlist.
Today
Growing fast. Shipping slow.
AI feature on the roadmap for 6 months, still a Figma frame
Senior engineer seat open, no hire in sight at $180K+
40% of sprints lost to regressions and tech debt fires
LLM prototype built, hallucinating in staging, never shipped
Velocity flat while headcount doubled in 18 months
Competitors announced an AI copilot. You have a slide.
With Emulsion
Same team. 3x the output.
RAG feature or AI copilot live in 4 to 8 weeks, with evals
2 to 4 engineers on 30-day terms, no 6-month search
Sprint output 2 to 3x higher within 60 days
LLM feature with guardrails, grounding, and monitoring in prod
Architecture cleaned up and documented, features ship on time
AI roadmap shipped each quarter, not pushed to next year
Pillar 1 of 4
AI Feature Build, built into your product, not bolted on
AI features are table stakes in 2026. We ship the ones on your roadmap. RAG, agent workflows, copilots, voice agents. Paid proof of concept first, then the build, with evals and guardrails from day one.
RAG Pipeline & Knowledge Layer
RAG over your product data, support history, or docs. Proper chunking, the right vector store, hybrid search, evals. Every answer traces to your data.
Production-accurate. Not a chatbot demo.
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In-Product Chatbot & Copilot
AI assist inside your product UI. It knows the user's state and data. A feature customers pay for, not a sidebar widget.
A retention driver, not a gimmick.
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Agentic Workflows & Automation
Agents that take real actions in your product: CRM writes, approvals, document generation. Guardrails and audit logs on every step.
Automates real workflows, not just the report.
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LLM Eval & Reliability Layer
Shipped an AI feature that got turned off? We rebuild the evals, grounding, and monitoring so it holds up in production.
AI you can put in front of customers.
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Answer-First Docs & Help Center
Docs, help articles and comparison pages rewritten so ChatGPT, Perplexity and Google AI Overviews can quote them. Structured data included. Buyers compare AI capabilities in AI answers before they book a demo.
Your product shows up in AI answers.
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Free · 30-min call
Not sure where to start?
Book a free 30-minute call. We find your bottleneck and tell you how we would fix it. No pitch.
No pitch. Just a clear plan.
Book a discovery call
Pillar 2 of 4
Dedicated Engineering Team, more capacity on 30-day terms
2 to 4 senior engineers in your sprints, Linear, Slack, and standups. PM, QA, and DevOps included. Cancel with 30 days notice.
Sprint-Embedded Senior Engineers
Engineers who join your rituals, not an offshore team you manage. Assigned, not rotated, so context stays.
Feels like in-house. Costs like a contractor.
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PM, QA & DevOps Coverage
Every retainer includes a PM, QA on each release, and infrastructure ownership. Nothing ships untested.
Full-stack capacity, not just IC engineers.
30-Day Cancellation
No 6-month minimum, no exit fees, no equity asks. Not delivering? You walk with 30 days notice. It is in the contract.
You are never locked in.
Free · 30-min call
Not sure where to start?
Book a free 30-minute call. We find your bottleneck and tell you how we would fix it. No pitch.
No pitch. Just a clear plan.
Book a discovery call
Pillar 3 of 4
Staff Augmentation, senior ICs in your stack from week one
Single senior engineers in your team for a quarter or more. Full-stack, backend, AI/ML, or mobile.
Senior Individual Contributors
5 to 10 years of production experience. Matched on stack, domain, and time zone. You interview them and run the work.
Cheaper than a hire, faster than recruiting.
AI/ML Specialist Placement
Engineers who have shipped production LLM features or ML pipelines. Not generalists who read the docs last week.
No ramp-up on AI fundamentals.
Backfill & Surge Capacity
Parental leave cover, due diligence crunch, launch sprint. One engineer, one role, one set period.
Right-sized. No permanent headcount added.
Free · 30-min call
Not sure where to start?
Book a free 30-minute call. We find your bottleneck and tell you how we would fix it. No pitch.
No pitch. Just a clear plan.
Book a discovery call
Pillar 4 of 4
Architecture & Velocity, pay down the debt eating your roadmap
If tech debt eats 40% of every sprint, we audit and refactor the parts costing you the most.
Velocity Audit & Debt Map
We read your last 12 sprints, code churn, and error logs. You get a ranked fix list with ROI estimates.
You know what to fix first.
Targeted Refactor & Documentation
We refactor the slowest modules, add tests where things break, and document the architecture so new engineers ship in days.
New features ship faster within 60 days.
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Scalability & Infra Upgrade
Schema redesign, caching, queues, CDN and edge config. The work you need before the next 10x of users.
Scales to the next 10x without a rewrite.
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Free · 30-min call
Not sure where to start?
Book a free 30-minute call. We find your bottleneck and tell you how we would fix it. No pitch.
No pitch. Just a clear plan.
Book a discovery call
Which SaaS teams is this for?
SaaS companies with 15 to 80 people and $500K to $10M ARR, seed to Series B. Your engineering team is too small, too slow, or missing AI skills to keep up.
Not a fit: pre-revenue products (see the software founders page), teams that want a free pilot, or anyone who needs a 200-person outsourcing bench.
- You do not need another headcount approved by the board.You need senior engineers on 30-day terms, starting now.
- You do not need a six-month ML hiring search.You need the AI feature shipped next quarter, with evals, not a demo.
- You do not need another internal tech debt project.You need an outside team to pay it down while yours keeps shipping.
Company size
15 to 80 employees
Stage
Seed · Series A · Series B · Profitable
Geography
US · UK · EU · Canada · Australia
Proof
Shipped to production. Used by real customers.
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