Krazimo
About Krazimo
Krazimo is a software development firm founded by former Google engineers- built specifically to deliver enterprise AI that works in production, not just in demos.
We've worked on AI applications at Google Workspace and bring that same engineering discipline to every client engagement. Our team is deliberately small: capped at 15 senior engineers and 10 active projects at any time, which means every client gets real attention and real accountability.
Clients have replaced teams of 5 with 2 of our engineers. We don't pad timelines or overcomplicate scope. We build it right, and we build it fast.
Our work spans the full AI stack: strategy and roadmapping, multi-agent systems and conversational bots, intelligent workflow automation, ML deployment, AI-assisted full-stack development, custom AI CRMs, and RAG-based knowledge systems. We've shipped across healthcare, legal tech, fintech, edtech, insurance, Web3, and sales technology.
What makes us different: we prefer deterministic, auditable workflows over fragile agents. We design for reliability and maintainability from day one, production-grade MLOps, clean documentation, and systems built to scale without breaking.
100% Job Success on Upwork. Top Rated Plus. All Clutch reviews at 5.0. Featured in Fast Company, US Chamber of Commerce, SDxCentral, The New Stack, and TMCnet.
Krazimo is a software development firm founded by former Google engineers- built specifically to deliver enterprise AI that works in production, not just in demos.
We've worked on AI applications at Google Workspace and bring that same engineering discipline to every client engagement. Our team is deliberately small: capped at 15 senior engineers and 10 active projects at any time, which means every client gets real attention and real accountability.
Clients have replaced teams of 5 with 2 of our engineers. We don't pad timelines or overcomplicate scope. We build it right, and we build it fast.
Our work spans the full AI stack: strategy and roadmapping, multi-agent systems and conversational bots, intelligent workflow automation, ML deployment, AI-assisted full-stack development, custom AI CRMs, and RAG-based knowledge systems. We've shipped across healthcare, legal tech, fintech, edtech, insurance, Web3, and sales technology.
What makes us different: we prefer deterministic, auditable workflows over fragile agents. We design for reliability and maintainability from day one, production-grade MLOps, clean documentation, and systems built to scale without breaking.
100% Job Success on Upwork. Top Rated Plus. All Clutch reviews at 5.0. Featured in Fast Company, US Chamber of Commerce, SDxCentral, The New Stack, and TMCnet.
Key Insights
Services & Focus
Industry Focus
Client Focus
Portfolio
Legal AI You Can Trust
One hallucinated citation and a lawyer's credibility is gone. That's why most legal AI is unusable in practice — it's general-purpose AI wearing a legal costume, and it shows. CaseLogic was built from scratch for the standard the legal industry actually requires. Citation enforcement at the core: every answer grounded in real sources, every claim traceable. Secure case workspaces with role-based access. Specialist review workflows that escalate when complexity demands it. Lawyers get answers they can present — not outputs they have to reverify from scratch before touching. In a field where a single wrong citation can lose a case, we built the only kind of AI that belongs in a law firm: one that can be held accountable for every word it produces.
Legal AI You Can Trust
One hallucinated citation and a lawyer's credibility is gone. That's why most legal AI is unusable in practice — it's general-purpose AI wearing a legal costume, and it shows. CaseLogic was built from scratch for the standard the legal industry actually requires. Citation enforcement at the core: every answer grounded in real sources, every claim traceable. Secure case workspaces with role-based access. Specialist review workflows that escalate when complexity demands it. Lawyers get answers they can present — not outputs they have to reverify from scratch before touching. In a field where a single wrong citation can lose a case, we built the only kind of AI that belongs in a law firm: one that can be held accountable for every word it produces.
Empowering Professional AI Translations
Professional translation is a market that generic AI has been failing for years. It loses context. It breaks document formatting. It produces output that looks translated. LinguaCore needed something that actually works — publication quality, at volume, across complex layouts, in multiple languages. We built a platform combining context-controlled generation that preserves meaning across languages, format-preserving document translation that handles complex layouts without corrupting structure, and a quality feedback loop that gets measurably better over time. The result: translations that read like they were written in the target language — not translated into it. Fast enough for production. Accurate enough for publication. Structured enough that even the most complex document comes out intact.
How Our AI CRM Gets People Their Botox
A Beverly Hills aesthetic practice was losing leads, missing Instagram DMs, and wasting hours hunting through call recordings. We rebuilt the entire operation. One unified platform for staff covering leads, calls, SMS, email, appointments, consents, clinical notes, and revenue analytics. An AI concierge on Instagram that converts DMs into qualified Salesforce leads automatically — with sub-minute response times on a channel that was previously a bottleneck. Call transcription and AI summaries that make every phone conversation instantly actionable in minutes, not hours. A guided patient intake flow that structures demand before it hits the team. Result: zero lead leakage, full operational visibility across a high-volume premium practice, and a "uncontacted lead" alert system that ensures no inquiry goes cold. Built by former Google engineers. Delivered in production.
Let the Phones Run Themselves!
Every missed call is a missed customer. Every routine call handled by a human is wasted capacity. BlinkVoice wanted to fix both — not with an IVR tree that frustrates callers, but with voice agents that actually complete work. We built the full stack: real phone numbers, telephony infrastructure, workflow execution, CRM writes, booking systems, escalation logic. The agent doesn't just talk — it books, looks up, updates, captures, and closes. For businesses with repeatable workflows, human involvement dropped to 2–3%. Calls answered instantly, every time, including at 2am. Zero missed calls. The 97–98% of routine requests handled completely, automatically, correctly. Staff show up in the morning to find the work already done.
Gamifying Sales Training
Most sales training is a waste of time. Decks, workshops, role-plays that feel nothing like real calls. Reps nod, go back to their desks, and keep losing deals the same way. PitchMee is different. We built a platform where reps practice against AI buyer personas that push back, raise objections, and mirror real buyer behavior — powered by OpenAI Realtime API. Every session is scored: discovery quality, objection handling, talk-to-listen ratio, closing approach. Feedback arrives immediately, not in a quarterly review. Managers see team-wide skill gaps without listening to a single call. Coaching logic informed by 200+ top-performing reps built into the engine. Results: faster ramp for new hires, measurably stronger objection handling, higher win rates — and a sales culture where practice is something reps actually do.
A Research Assistant That Actually Runs The Work
The dirtiest secret in academic research: PhDs spend most of their time not thinking — they're gathering sources, cleaning data, fixing broken environments, rerunning experiments, and losing context every time they close a tab. We built Chip Inc's research assistant to kill that overhead entirely. This is not a chatbot. It's a 6-agent orchestration system — Orchestrator, Research, Memory, Reasoning, Quality, and Tooling agents — each with a specific job, working in parallel. It retrieves from Pinecone vector stores and StackExchange. It executes real math via WolframAlpha, SageMath, and MATLAB. It formally proves theorems using Lean and Mathlib. It runs entire repositories inside dedicated VMs, debugs failures, and self-corrects until execution is stable. It runs parallel browser sessions to gather multi-source literature simultaneously. And critically — it remembers. Full project context, assumptions, prior results, all preserved across sessions. First functional prototype delivered in 4 months. The result: research time shifts from infrastructure and setup to analysis and insight — which is the only thing a researcher should be doing in the first place.
Automating CBSE Exam Grading with AI
A teacher grading 200 subjective CBSE answers in a day is not evaluating — they're surviving. Different teachers, different moods, different marks for the same answer. Students get no real feedback. The system is broken by design. We rebuilt it. Our AI grading engine evaluates every answer against the exact marking scheme, explains every deduction in student-friendly language, and generates improvement guidance tied to the rubric — not vague encouragement. Delivered in 4 months. Results: 60% reduction in grading time. Consistent scores regardless of who set the paper or when. Students who finally understand why they lost marks — and what to do next. 85%+ accuracy validated against expert graders. This is what fair, scalable evaluation looks like.
Paid Faster, Paid More – Revolutionizing Restoration
Restoration contractors get robbed in plain sight. They do the work, then spend weeks writing justifications while carriers lowball, delay, and deny. We fixed the back office. JSTFYD now generates standards-backed, citation-enforced, evidence-linked claim responses in hours — not days. The system pulls the exact IICRC clause, retrieves the relevant job photo, references comparable past claims, and drafts the dispute email. Carriers can't easily dismiss it because every line is defensible. The numbers: ~6% improvement in settlement amounts. ~45 hours saved per week per company. ~$800K in projected annual impact per client. Response time to insurer requests: from multiple days to a few hours. This is what happens when you stop letting AI write generic emails and start building AI that actually understands the domain.
A Clear Benchmark for Financial Advisors
How am I performing compared to my peers?" is a question every financial advisor asks and almost none can answer credibly. AUM tells you how much you manage, not how well you advise. Point93 built the benchmark — and we built the engine behind it. Deterministic scoring across standardized dimensions, peer comparisons with statistical grounding, and results that translate directly into specific next steps. No black boxes. No vague scores. Every number has a clear basis. Every output tells you what to do next. For firms evaluating talent and advisors trying to improve, it's the first benchmark in the industry that's actually worth trusting — and acting on.
From Sustainability Research to Decarbonization Plans
Sustainability analysts are some of the smartest people in any organization. They spend most of their time doing work that shouldn't require intelligence at all — gathering data, reconciling sources, formatting outputs. We gave that time back. The system we built for 15Rock ingests scattered sustainability data from multiple sources, structures it, maps evidence to recommendations, and produces publication-ready decarbonization reports — the kind that hold up to scrutiny from regulators, investors, and boards. Analysts don't summarize anymore. They think. Deliverables that took weeks now take a fraction of the time. The quality went up because the humans are doing what humans are actually good at — and the machine is doing the rest.
Krazimo Reviews
Submit a review for Krazimo