In-product copilot
Conversational assistant inside your product - onboarding, support, and power-user workflows.
SaaS, and digital-native businesses
Ship copilots, agents, and AI-native features inside your product - with our embedded copilot engagements, multi-agent architecture, and senior pods that already know how to ship.
Your customers are evaluating you against AI-first competitors. Your investors are asking your AI strategy on every call. Your engineering team is figuring out evals from scratch.
Techimax helps SaaS leaders ship AI-native features fast - without the months of platform engineering most teams burn before they ship a single agent.
From your first copilot to a multi-agent platform - we cover the full spectrum.
Conversational assistant inside your product - onboarding, support, and power-user workflows.
Semantic search and Q&A grounded in your customer's data and documents.
Drafts, summaries, suggestions, and personalized content as native product surfaces.
Background agents that execute multi-step tasks on behalf of your users.
Conversational analytics and natural-language reporting on customer data.
Personalized product tours, setup assistance, and activation acceleration.
Internal agents for your engineering team - codegen, tests, docs, and reviews.
Abuse, jailbreak, and PII protections wired into every AI surface.
Replaced a 9-month internal AI roadmap with a 4-week Techimax pod engagement. Shipped 3 customer-facing agents and an embedded copilot foundation their team now builds on top of - daily releases since week one.
AI-native onboarding agent that personalizes setup based on customer profile. Activation lift of 22% in the first quarter and a 35% reduction in support tickets from new accounts.
What decision-makers ask before greenlighting an engagement.
Yes - most engagements pair a Techimax embedded pod with your in-house engineers. You drive product direction; we bring AI engineering muscle and leave behind code your team owns and can extend.
Engagements are scoped fixed-fee or per-pod-week - not per-tenant or per-message. We work with you to model costs against your gross margin so AI features improve unit economics rather than erode them.
Always. The features ship under your brand, in your UI, on your domain. Techimax is invisible to your customers unless you decide otherwise.
Customer data flows through our runtime under your control. We don't train models on customer data, we don't share data across tenants, and we deploy in your cloud account when needed for residency or compliance.
LangChain is a framework. We're a production platform with the SDK, runtime, evals, observability, governance, and the senior team who's shipped this for 50+ companies. Building in-house typically takes 9–12 months before your first reliable agent ships. We get you there in 4–6 weeks.
In 60 minutes with a senior engineer, you walk away with the gaps mapped, the agent worth building first, a risk read on what your team has already shipped, and a reference architecture - at zero cost, no obligation.
Where the work breaks down today and which gap an agent should close first - calibrated to your business.
Where engineering and ops hours actually go - and where forward-deployed delivery takes you next.
An honest view of what your team has already vibe-coded and what it needs to survive production.
Reference architecture for your runtime, evals, RAG, and integrations - vendor-agnostic.
Reserve a 60-minute working session with a senior AI engineer and practice lead.
Tell us about your product and your AI roadmap. We'll come back with a plan and a path to public beta on your timeline.